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490 lines
23 KiB
490 lines
23 KiB
# Ultralytics YOLO 🚀, AGPL-3.0 license
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site_name: Ultralytics YOLOv8 Docs
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site_url: https://docs.ultralytics.com
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site_description: Explore Ultralytics YOLOv8, a cutting-edge real-time object detection and image segmentation model for various applications and hardware platforms.
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site_author: Ultralytics
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repo_url: https://github.com/ultralytics/ultralytics
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edit_uri: https://github.com/ultralytics/ultralytics/tree/main/docs
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repo_name: ultralytics/ultralytics
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remote_name: https://github.com/ultralytics/docs
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theme:
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name: material
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custom_dir: docs/overrides
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logo: https://github.com/ultralytics/assets/raw/main/logo/Ultralytics_Logotype_Reverse.svg
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favicon: assets/favicon.ico
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icon:
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repo: fontawesome/brands/github
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font:
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text: Helvetica
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code: Roboto Mono
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palette:
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# Palette toggle for light mode
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- scheme: default
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# primary: grey
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toggle:
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icon: material/brightness-7
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name: Switch to dark mode
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# Palette toggle for dark mode
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- scheme: slate
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# primary: black
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toggle:
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icon: material/brightness-4
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name: Switch to light mode
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features:
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- content.action.edit
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- content.code.annotate
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- content.code.copy
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- content.tooltips
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- search.highlight
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- search.share
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- search.suggest
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- toc.follow
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- toc.integrate
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- navigation.top
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- navigation.tabs
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- navigation.tabs.sticky
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- navigation.expand
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- navigation.footer
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- navigation.tracking
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- navigation.instant
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- navigation.indexes
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- content.tabs.link # all code tabs change simultaneously
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# Customization
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copyright: <a href="https://ultralytics.com" target="_blank">© 2023 Ultralytics Inc.</a> All rights reserved.
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extra:
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# version:
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# provider: mike # version drop-down menu
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robots: robots.txt
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analytics:
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provider: google
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property: G-2M5EHKC0BH
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# feedback:
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# title: Was this page helpful?
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# ratings:
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# - icon: material/heart
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# name: This page was helpful
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# data: 1
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# note: Thanks for your feedback!
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# - icon: material/heart-broken
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# name: This page could be improved
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# data: 0
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# note: >-
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# Thanks for your feedback!<br>
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# <a href="https://github.com/ultralytics/ultralytics/issues/new?title=Docs+Feedback+for+{title}+page+at+https://docs.ultralytics.com/{url}&labels=enhancement&template=feature-request.yml" target="_blank" rel="noopener">Tell us what we can improve.</a>
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social:
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- icon: fontawesome/brands/github
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link: https://github.com/ultralytics
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- icon: fontawesome/brands/linkedin
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link: https://www.linkedin.com/company/ultralytics/
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- icon: fontawesome/brands/twitter
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link: https://twitter.com/ultralytics
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- icon: fontawesome/brands/youtube
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link: https://www.youtube.com/ultralytics
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- icon: fontawesome/brands/docker
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link: https://hub.docker.com/r/ultralytics/ultralytics/
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- icon: fontawesome/brands/python
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link: https://pypi.org/project/ultralytics/
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- icon: fontawesome/brands/discord
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link: https://discord.gg/2wNGbc6g9X
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extra_css:
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- stylesheets/style.css
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- https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css
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markdown_extensions:
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# Div text decorators
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- admonition
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- md_in_html
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- pymdownx.details
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- pymdownx.superfences
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- tables
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- attr_list
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- def_list
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# Syntax highlight
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- pymdownx.highlight:
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anchor_linenums: true
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- pymdownx.inlinehilite
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- pymdownx.snippets:
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base_path: ./
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- pymdownx.emoji:
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emoji_index: !!python/name:materialx.emoji.twemoji # noqa
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emoji_generator: !!python/name:materialx.emoji.to_svg
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- pymdownx.tabbed:
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alternate_style: true
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# Highlight
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- pymdownx.critic
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- pymdownx.caret
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- pymdownx.keys
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- pymdownx.mark
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- pymdownx.tilde
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# Primary navigation ---------------------------------------------------------------------------------------------------
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nav:
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- Home:
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- Home: index.md
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- Quickstart: quickstart.md
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- Modes:
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- modes/index.md
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- Train: modes/train.md
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- Val: modes/val.md
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- Predict: modes/predict.md
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- Export: modes/export.md
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- Track: modes/track.md
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- Benchmark: modes/benchmark.md
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- Tasks:
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- tasks/index.md
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- Detect: tasks/detect.md
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- Segment: tasks/segment.md
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- Classify: tasks/classify.md
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- Pose: tasks/pose.md
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- Quickstart: quickstart.md
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- Modes:
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- modes/index.md
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- Train: modes/train.md
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- Val: modes/val.md
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- Predict: modes/predict.md
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- Export: modes/export.md
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- Track: modes/track.md
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- Benchmark: modes/benchmark.md
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- Tasks:
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- tasks/index.md
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- Detect: tasks/detect.md
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- Segment: tasks/segment.md
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- Classify: tasks/classify.md
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- Pose: tasks/pose.md
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- Models:
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- models/index.md
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- YOLOv3: models/yolov3.md
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- YOLOv4: models/yolov4.md
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- YOLOv5: models/yolov5.md
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- YOLOv6: models/yolov6.md
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- YOLOv7: models/yolov7.md
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- YOLOv8: models/yolov8.md
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- SAM (Segment Anything Model): models/sam.md
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- MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
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- FastSAM (Fast Segment Anything Model): models/fast-sam.md
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- YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
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- RT-DETR (Realtime Detection Transformer): models/rtdetr.md
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- Datasets:
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- datasets/index.md
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- Detection:
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- datasets/detect/index.md
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- Argoverse: datasets/detect/argoverse.md
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- COCO: datasets/detect/coco.md
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- COCO8: datasets/detect/coco8.md
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- GlobalWheat2020: datasets/detect/globalwheat2020.md
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- Objects365: datasets/detect/objects365.md
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- SKU-110K: datasets/detect/sku-110k.md
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- VisDrone: datasets/detect/visdrone.md
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- VOC: datasets/detect/voc.md
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- xView: datasets/detect/xview.md
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- Segmentation:
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- datasets/segment/index.md
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- COCO: datasets/segment/coco.md
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- COCO8-seg: datasets/segment/coco8-seg.md
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- Pose:
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- datasets/pose/index.md
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- COCO: datasets/pose/coco.md
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- COCO8-pose: datasets/pose/coco8-pose.md
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- Classification:
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- datasets/classify/index.md
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- Caltech 101: datasets/classify/caltech101.md
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- Caltech 256: datasets/classify/caltech256.md
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- CIFAR-10: datasets/classify/cifar10.md
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- CIFAR-100: datasets/classify/cifar100.md
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- Fashion-MNIST: datasets/classify/fashion-mnist.md
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- ImageNet: datasets/classify/imagenet.md
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- ImageNet-10: datasets/classify/imagenet10.md
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- Imagenette: datasets/classify/imagenette.md
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- Imagewoof: datasets/classify/imagewoof.md
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- MNIST: datasets/classify/mnist.md
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- Multi-Object Tracking:
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- datasets/track/index.md
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- Usage:
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- CLI: usage/cli.md
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- Python: usage/python.md
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- Callbacks: usage/callbacks.md
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- Configuration: usage/cfg.md
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- Advanced Customization: usage/engine.md
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- YOLOv5:
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- yolov5/index.md
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- Quickstart: yolov5/quickstart_tutorial.md
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- Environments:
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- Amazon Web Services (AWS): yolov5/environments/aws_quickstart_tutorial.md
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- Google Cloud (GCP): yolov5/environments/google_cloud_quickstart_tutorial.md
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- Docker Image: yolov5/environments/docker_image_quickstart_tutorial.md
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- Tutorials:
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- Train Custom Data: yolov5/tutorials/train_custom_data.md
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- Tips for Best Training Results: yolov5/tutorials/tips_for_best_training_results.md
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- Multi-GPU Training: yolov5/tutorials/multi_gpu_training.md
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- PyTorch Hub: yolov5/tutorials/pytorch_hub_model_loading.md
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- TFLite, ONNX, CoreML, TensorRT Export: yolov5/tutorials/model_export.md
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- NVIDIA Jetson Nano Deployment: yolov5/tutorials/running_on_jetson_nano.md
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- Test-Time Augmentation (TTA): yolov5/tutorials/test_time_augmentation.md
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- Model Ensembling: yolov5/tutorials/model_ensembling.md
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- Pruning/Sparsity Tutorial: yolov5/tutorials/model_pruning_and_sparsity.md
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- Hyperparameter evolution: yolov5/tutorials/hyperparameter_evolution.md
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- Transfer learning with frozen layers: yolov5/tutorials/transfer_learning_with_frozen_layers.md
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- Architecture Summary: yolov5/tutorials/architecture_description.md
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- Roboflow Datasets: yolov5/tutorials/roboflow_datasets_integration.md
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- Neural Magic's DeepSparse: yolov5/tutorials/neural_magic_pruning_quantization.md
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- Comet Logging: yolov5/tutorials/comet_logging_integration.md
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- Clearml Logging: yolov5/tutorials/clearml_logging_integration.md
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- Ultralytics HUB:
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- hub/index.md
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- Quickstart: hub/quickstart.md
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- Datasets: hub/datasets.md
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- Projects: hub/projects.md
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- Models: hub/models.md
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- Integrations: hub/integrations.md
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- Ultralytics HUB App:
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- hub/app/index.md
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- 'iOS': hub/app/ios.md
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- 'Android': hub/app/android.md
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- Inference API: hub/inference_api.md
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- Reference:
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- hub:
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- __init__: reference/hub/__init__.md
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- auth: reference/hub/auth.md
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- session: reference/hub/session.md
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- utils: reference/hub/utils.md
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- nn:
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- autobackend: reference/nn/autobackend.md
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- modules:
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- block: reference/nn/modules/block.md
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- conv: reference/nn/modules/conv.md
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- head: reference/nn/modules/head.md
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- transformer: reference/nn/modules/transformer.md
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- utils: reference/nn/modules/utils.md
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- tasks: reference/nn/tasks.md
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- tracker:
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- track: reference/tracker/track.md
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- trackers:
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- basetrack: reference/tracker/trackers/basetrack.md
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- bot_sort: reference/tracker/trackers/bot_sort.md
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- byte_tracker: reference/tracker/trackers/byte_tracker.md
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- utils:
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|
- gmc: reference/tracker/utils/gmc.md
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- kalman_filter: reference/tracker/utils/kalman_filter.md
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- matching: reference/tracker/utils/matching.md
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- vit:
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- rtdetr:
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- model: reference/vit/rtdetr/model.md
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- predict: reference/vit/rtdetr/predict.md
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- train: reference/vit/rtdetr/train.md
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- val: reference/vit/rtdetr/val.md
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- sam:
|
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- amg: reference/vit/sam/amg.md
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- build: reference/vit/sam/build.md
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- model: reference/vit/sam/model.md
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- modules:
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- decoders: reference/vit/sam/modules/decoders.md
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- encoders: reference/vit/sam/modules/encoders.md
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- sam: reference/vit/sam/modules/sam.md
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- tiny_encoder: reference/vit/sam/modules/tiny_encoder.md
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- transformer: reference/vit/sam/modules/transformer.md
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- predict: reference/vit/sam/predict.md
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- utils:
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- loss: reference/vit/utils/loss.md
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- ops: reference/vit/utils/ops.md
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- yolo:
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- cfg:
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- __init__: reference/yolo/cfg/__init__.md
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- data:
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- annotator: reference/yolo/data/annotator.md
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- augment: reference/yolo/data/augment.md
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- base: reference/yolo/data/base.md
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- build: reference/yolo/data/build.md
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- converter: reference/yolo/data/converter.md
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- dataloaders:
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- stream_loaders: reference/yolo/data/dataloaders/stream_loaders.md
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- v5augmentations: reference/yolo/data/dataloaders/v5augmentations.md
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- v5loader: reference/yolo/data/dataloaders/v5loader.md
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- dataset: reference/yolo/data/dataset.md
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- dataset_wrappers: reference/yolo/data/dataset_wrappers.md
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- utils: reference/yolo/data/utils.md
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- engine:
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- exporter: reference/yolo/engine/exporter.md
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- model: reference/yolo/engine/model.md
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- predictor: reference/yolo/engine/predictor.md
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- results: reference/yolo/engine/results.md
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- trainer: reference/yolo/engine/trainer.md
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- validator: reference/yolo/engine/validator.md
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- fastsam:
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- model: reference/yolo/fastsam/model.md
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- predict: reference/yolo/fastsam/predict.md
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- prompt: reference/yolo/fastsam/prompt.md
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- utils: reference/yolo/fastsam/utils.md
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- val: reference/yolo/fastsam/val.md
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- nas:
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- model: reference/yolo/nas/model.md
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- predict: reference/yolo/nas/predict.md
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- val: reference/yolo/nas/val.md
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- utils:
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- __init__: reference/yolo/utils/__init__.md
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- autobatch: reference/yolo/utils/autobatch.md
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- benchmarks: reference/yolo/utils/benchmarks.md
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- callbacks:
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- base: reference/yolo/utils/callbacks/base.md
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- clearml: reference/yolo/utils/callbacks/clearml.md
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- comet: reference/yolo/utils/callbacks/comet.md
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- dvc: reference/yolo/utils/callbacks/dvc.md
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- hub: reference/yolo/utils/callbacks/hub.md
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- mlflow: reference/yolo/utils/callbacks/mlflow.md
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- neptune: reference/yolo/utils/callbacks/neptune.md
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- raytune: reference/yolo/utils/callbacks/raytune.md
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- tensorboard: reference/yolo/utils/callbacks/tensorboard.md
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- wb: reference/yolo/utils/callbacks/wb.md
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- checks: reference/yolo/utils/checks.md
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- dist: reference/yolo/utils/dist.md
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- downloads: reference/yolo/utils/downloads.md
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- errors: reference/yolo/utils/errors.md
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- files: reference/yolo/utils/files.md
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- instance: reference/yolo/utils/instance.md
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- loss: reference/yolo/utils/loss.md
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- metrics: reference/yolo/utils/metrics.md
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- ops: reference/yolo/utils/ops.md
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- patches: reference/yolo/utils/patches.md
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- plotting: reference/yolo/utils/plotting.md
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- tal: reference/yolo/utils/tal.md
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- torch_utils: reference/yolo/utils/torch_utils.md
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- tuner: reference/yolo/utils/tuner.md
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- v8:
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- classify:
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- predict: reference/yolo/v8/classify/predict.md
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- train: reference/yolo/v8/classify/train.md
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- val: reference/yolo/v8/classify/val.md
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- detect:
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- predict: reference/yolo/v8/detect/predict.md
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- train: reference/yolo/v8/detect/train.md
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- val: reference/yolo/v8/detect/val.md
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- pose:
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- predict: reference/yolo/v8/pose/predict.md
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- train: reference/yolo/v8/pose/train.md
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- val: reference/yolo/v8/pose/val.md
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- segment:
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- predict: reference/yolo/v8/segment/predict.md
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- train: reference/yolo/v8/segment/train.md
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- val: reference/yolo/v8/segment/val.md
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- Help:
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- Help: help/index.md
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- Frequently Asked Questions (FAQ): help/FAQ.md
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- Contributing Guide: help/contributing.md
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- Continuous Integration (CI) Guide: help/CI.md
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- Contributor License Agreement (CLA): help/CLA.md
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- Minimum Reproducible Example (MRE) Guide: help/minimum_reproducible_example.md
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- Code of Conduct: help/code_of_conduct.md
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- Environmental, Health and Safety (EHS) Policy: help/environmental-health-safety.md
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- Security Policy: SECURITY.md
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# Plugins including 301 redirects navigation ---------------------------------------------------------------------------
|
|
plugins:
|
|
- mkdocstrings
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- search
|
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- ultralytics:
|
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add_desc: False
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add_image: True
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add_share_buttons: True
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default_image: https://github.com/ultralytics/ultralytics/assets/26833433/6d09221c-c52a-4234-9a5d-b862e93c6529
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|
- redirects:
|
|
redirect_maps:
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callbacks.md: usage/callbacks.md
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cfg.md: usage/cfg.md
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cli.md: usage/cli.md
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config.md: usage/cfg.md
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engine.md: usage/engine.md
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environments/AWS-Quickstart.md: yolov5/environments/aws_quickstart_tutorial.md
|
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environments/Docker-Quickstart.md: yolov5/environments/docker_image_quickstart_tutorial.md
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environments/GCP-Quickstart.md: yolov5/environments/google_cloud_quickstart_tutorial.md
|
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FAQ/augmentation.md: yolov5/tutorials/tips_for_best_training_results.md
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package-framework.md: index.md
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package-framework/mock_detector.md: index.md
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predict.md: modes/predict.md
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python.md: usage/python.md
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quick-start.md: quickstart.md
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app.md: hub/app/index.md
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sdk.md: index.md
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reference/base_pred.md: reference/yolo/engine/predictor.md
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reference/base_trainer.md: reference/yolo/engine/trainer.md
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reference/exporter.md: reference/yolo/engine/exporter.md
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reference/model.md: reference/yolo/engine/model.md
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reference/nn.md: reference/nn/modules/head.md
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reference/ops.md: reference/yolo/utils/ops.md
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reference/results.md: reference/yolo/engine/results.md
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reference/base_val.md: index.md
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tasks/classification.md: tasks/classify.md
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tasks/detection.md: tasks/detect.md
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tasks/segmentation.md: tasks/segment.md
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tasks/keypoints.md: tasks/pose.md
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tasks/tracking.md: modes/track.md
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tutorials/architecture-summary.md: yolov5/tutorials/architecture_description.md
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tutorials/clearml-logging.md: yolov5/tutorials/clearml_logging_integration.md
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tutorials/comet-logging.md: yolov5/tutorials/comet_logging_integration.md
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tutorials/hyperparameter-evolution.md: yolov5/tutorials/hyperparameter_evolution.md
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tutorials/model-ensembling.md: yolov5/tutorials/model_ensembling.md
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tutorials/multi-gpu-training.md: yolov5/tutorials/multi_gpu_training.md
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tutorials/nvidia-jetson.md: yolov5/tutorials/running_on_jetson_nano.md
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tutorials/pruning-sparsity.md: yolov5/tutorials/model_pruning_and_sparsity.md
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tutorials/pytorch-hub.md: yolov5/tutorials/pytorch_hub_model_loading.md
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tutorials/roboflow.md: yolov5/tutorials/roboflow_datasets_integration.md
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tutorials/test-time-augmentation.md: yolov5/tutorials/test_time_augmentation.md
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tutorials/torchscript-onnx-coreml-export.md: yolov5/tutorials/model_export.md
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tutorials/train-custom-datasets.md: yolov5/tutorials/train_custom_data.md
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tutorials/training-tips-best-results.md: yolov5/tutorials/tips_for_best_training_results.md
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tutorials/transfer-learning-froze-layers.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
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tutorials/weights-and-biasis-logging.md: yolov5/tutorials/comet_logging_integration.md
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yolov5/pytorch_hub.md: yolov5/tutorials/pytorch_hub_model_loading.md
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yolov5/hyp_evolution.md: yolov5/tutorials/hyperparameter_evolution.md
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yolov5/pruning_sparsity.md: yolov5/tutorials/model_pruning_and_sparsity.md
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yolov5/roboflow.md: yolov5/tutorials/roboflow_datasets_integration.md
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yolov5/comet.md: yolov5/tutorials/comet_logging_integration.md
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yolov5/clearml.md: yolov5/tutorials/clearml_logging_integration.md
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yolov5/tta.md: yolov5/tutorials/test_time_augmentation.md
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yolov5/multi_gpu_training.md: yolov5/tutorials/multi_gpu_training.md
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yolov5/ensemble.md: yolov5/tutorials/model_ensembling.md
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yolov5/jetson_nano.md: yolov5/tutorials/running_on_jetson_nano.md
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yolov5/transfer_learn_frozen.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
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yolov5/neural_magic.md: yolov5/tutorials/neural_magic_pruning_quantization.md
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yolov5/train_custom_data.md: yolov5/tutorials/train_custom_data.md
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yolov5/architecture.md: yolov5/tutorials/architecture_description.md
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yolov5/export.md: yolov5/tutorials/model_export.md
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yolov5/yolov5_quickstart_tutorial.md: yolov5/quickstart_tutorial.md
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yolov5/tips_for_best_training_results.md: yolov5/tutorials/tips_for_best_training_results.md
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yolov5/tutorials/yolov5_neural_magic_tutorial.md: yolov5/tutorials/neural_magic_pruning_quantization.md
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yolov5/tutorials/model_ensembling_tutorial.md: yolov5/tutorials/model_ensembling.md
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yolov5/tutorials/pytorch_hub_tutorial.md: yolov5/tutorials/pytorch_hub_model_loading.md
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yolov5/tutorials/yolov5_architecture_tutorial.md: yolov5/tutorials/architecture_description.md
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yolov5/tutorials/multi_gpu_training_tutorial.md: yolov5/tutorials/multi_gpu_training.md
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yolov5/tutorials/yolov5_pytorch_hub_tutorial.md: yolov5/tutorials/pytorch_hub_model_loading.md
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yolov5/tutorials/model_export_tutorial.md: yolov5/tutorials/model_export.md
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yolov5/tutorials/jetson_nano_tutorial.md: yolov5/tutorials/running_on_jetson_nano.md
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yolov5/tutorials/yolov5_model_ensembling_tutorial.md: yolov5/tutorials/model_ensembling.md
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yolov5/tutorials/roboflow_integration.md: yolov5/tutorials/roboflow_datasets_integration.md
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yolov5/tutorials/pruning_and_sparsity_tutorial.md: yolov5/tutorials/model_pruning_and_sparsity.md
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yolov5/tutorials/yolov5_transfer_learning_with_frozen_layers_tutorial.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
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yolov5/tutorials/transfer_learning_with_frozen_layers_tutorial.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md
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yolov5/tutorials/yolov5_model_export_tutorial.md: yolov5/tutorials/model_export.md
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yolov5/tutorials/neural_magic_tutorial.md: yolov5/tutorials/neural_magic_pruning_quantization.md
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yolov5/tutorials/yolov5_clearml_integration_tutorial.md: yolov5/tutorials/clearml_logging_integration.md
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yolov5/tutorials/yolov5_train_custom_data.md: yolov5/tutorials/train_custom_data.md
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yolov5/tutorials/comet_integration_tutorial.md: yolov5/tutorials/comet_logging_integration.md
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yolov5/tutorials/yolov5_pruning_and_sparsity_tutorial.md: yolov5/tutorials/model_pruning_and_sparsity.md
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yolov5/tutorials/yolov5_jetson_nano_tutorial.md: yolov5/tutorials/running_on_jetson_nano.md
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yolov5/tutorials/yolov5_roboflow_integration.md: yolov5/tutorials/roboflow_datasets_integration.md
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yolov5/tutorials/hyperparameter_evolution_tutorial.md: yolov5/tutorials/hyperparameter_evolution.md
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yolov5/tutorials/yolov5_hyperparameter_evolution_tutorial.md: yolov5/tutorials/hyperparameter_evolution.md
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yolov5/tutorials/clearml_integration_tutorial.md: yolov5/tutorials/clearml_logging_integration.md
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yolov5/tutorials/test_time_augmentation_tutorial.md: yolov5/tutorials/test_time_augmentation.md
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yolov5/tutorials/yolov5_test_time_augmentation_tutorial.md: yolov5/tutorials/test_time_augmentation.md
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yolov5/environments/yolov5_amazon_web_services_quickstart_tutorial.md: yolov5/environments/aws_quickstart_tutorial.md
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yolov5/environments/yolov5_google_cloud_platform_quickstart_tutorial.md: yolov5/environments/google_cloud_quickstart_tutorial.md
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yolov5/environments/yolov5_docker_image_quickstart_tutorial.md: yolov5/environments/docker_image_quickstart_tutorial.md
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