# Ultralytics YOLO 🚀, AGPL-3.0 license site_name: Ultralytics YOLOv8 Docs site_url: https://docs.ultralytics.com site_description: Explore Ultralytics YOLOv8, a cutting-edge real-time object detection and image segmentation model for various applications and hardware platforms. site_author: Ultralytics repo_url: https://github.com/ultralytics/ultralytics edit_uri: https://github.com/ultralytics/ultralytics/tree/main/docs repo_name: ultralytics/ultralytics remote_name: https://github.com/ultralytics/docs theme: name: material custom_dir: docs/overrides logo: https://github.com/ultralytics/assets/raw/main/logo/Ultralytics_Logotype_Reverse.svg favicon: assets/favicon.ico icon: repo: fontawesome/brands/github font: text: Roboto code: Roboto Mono palette: # Palette toggle for light mode - scheme: default # primary: grey toggle: icon: material/brightness-7 name: Switch to dark mode # Palette toggle for dark mode - scheme: slate # primary: black toggle: icon: material/brightness-4 name: Switch to light mode features: - content.action.edit - content.code.annotate - content.code.copy - content.tooltips - search.highlight - search.share - search.suggest - toc.follow - toc.integrate - navigation.top - navigation.tabs - navigation.tabs.sticky - navigation.expand - navigation.footer - navigation.tracking - navigation.instant - navigation.indexes - content.tabs.link # all code tabs change simultaneously # Customization copyright: Ultralytics 2023. All rights reserved. extra: # version: # provider: mike # version drop-down menu robots: robots.txt analytics: provider: google property: G-2M5EHKC0BH # feedback: # title: Was this page helpful? # ratings: # - icon: material/heart # name: This page was helpful # data: 1 # note: Thanks for your feedback! # - icon: material/heart-broken # name: This page could be improved # data: 0 # note: >- # Thanks for your feedback!
# Tell us what we can improve. social: - icon: fontawesome/brands/github link: https://github.com/ultralytics - icon: fontawesome/brands/linkedin link: https://www.linkedin.com/company/ultralytics/ - icon: fontawesome/brands/twitter link: https://twitter.com/ultralytics - icon: fontawesome/brands/youtube link: https://www.youtube.com/ultralytics - icon: fontawesome/brands/docker link: https://hub.docker.com/r/ultralytics/ultralytics/ - icon: fontawesome/brands/python link: https://pypi.org/project/ultralytics/ - icon: fontawesome/brands/discord link: https://discord.gg/n6cFeSPZdD extra_css: - stylesheets/style.css - https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css markdown_extensions: # Div text decorators - admonition - md_in_html - pymdownx.details - pymdownx.superfences - tables - attr_list - def_list # Syntax highlight - pymdownx.highlight: anchor_linenums: true - pymdownx.inlinehilite - pymdownx.snippets: base_path: ./ - pymdownx.emoji: emoji_index: !!python/name:materialx.emoji.twemoji # noqa emoji_generator: !!python/name:materialx.emoji.to_svg - pymdownx.tabbed: alternate_style: true # Highlight - pymdownx.critic - pymdownx.caret - pymdownx.keys - pymdownx.mark - pymdownx.tilde # Primary navigation --------------------------------------------------------------------------------------------------- nav: - Home: - Home: index.md - Quickstart: quickstart.md - Modes: - modes/index.md - Train: modes/train.md - Val: modes/val.md - Predict: modes/predict.md - Export: modes/export.md - Track: modes/track.md - Benchmark: modes/benchmark.md - Tasks: - tasks/index.md - Detect: tasks/detect.md - Segment: tasks/segment.md - Classify: tasks/classify.md - Pose: tasks/pose.md - Quickstart: quickstart.md - Modes: - modes/index.md - Train: modes/train.md - Val: modes/val.md - Predict: modes/predict.md - Export: modes/export.md - Track: modes/track.md - Benchmark: modes/benchmark.md - Tasks: - tasks/index.md - Detect: tasks/detect.md - Segment: tasks/segment.md - Classify: tasks/classify.md - Pose: tasks/pose.md - Models: - models/index.md - YOLOv3: models/yolov3.md - YOLOv5: models/yolov5.md - YOLOv6: models/yolov6.md - YOLOv8: models/yolov8.md - SAM (Segment Anything Model): models/sam.md - RT-DETR (Realtime Detection Transformer): models/rtdetr.md - Datasets: - datasets/index.md - Detection: - datasets/detect/index.md - Argoverse: datasets/detect/argoverse.md - COCO: datasets/detect/coco.md - COCO8: datasets/detect/coco8.md - GlobalWheat2020: datasets/detect/globalwheat2020.md - Objects365: datasets/detect/objects365.md - SKU-110K: datasets/detect/sku-110k.md - VisDrone: datasets/detect/visdrone.md - VOC: datasets/detect/voc.md - xView: datasets/detect/xview.md - Segmentation: - datasets/segment/index.md - COCO: datasets/segment/coco.md - COCO8-seg: datasets/segment/coco8-seg.md - Pose: - datasets/pose/index.md - COCO: datasets/pose/coco.md - COCO8-pose: datasets/pose/coco8-pose.md - Classification: - datasets/classify/index.md - Caltech 101: datasets/classify/caltech101.md - Caltech 256: datasets/classify/caltech256.md - CIFAR-10: datasets/classify/cifar10.md - CIFAR-100: datasets/classify/cifar100.md - Fashion-MNIST: datasets/classify/fashion-mnist.md - ImageNet: datasets/classify/imagenet.md - ImageNet-10: datasets/classify/imagenet10.md - Imagenette: datasets/classify/imagenette.md - Imagewoof: datasets/classify/imagewoof.md - MNIST: datasets/classify/mnist.md - Multi-Object Tracking: - datasets/track/index.md - Usage: - CLI: usage/cli.md - Python: usage/python.md - Callbacks: usage/callbacks.md - Configuration: usage/cfg.md - Advanced Customization: usage/engine.md - YOLOv5: - yolov5/index.md - Quickstart: yolov5/quickstart_tutorial.md - Environments: - Amazon Web Services (AWS): yolov5/environments/aws_quickstart_tutorial.md - Google Cloud (GCP): yolov5/environments/google_cloud_quickstart_tutorial.md - Docker Image: yolov5/environments/docker_image_quickstart_tutorial.md - Tutorials: - Train Custom Data: yolov5/tutorials/train_custom_data.md - Tips for Best Training Results: yolov5/tutorials/tips_for_best_training_results.md - Multi-GPU Training: yolov5/tutorials/multi_gpu_training.md - PyTorch Hub: yolov5/tutorials/pytorch_hub_model_loading.md - TFLite, ONNX, CoreML, TensorRT Export: yolov5/tutorials/model_export.md - NVIDIA Jetson Nano Deployment: yolov5/tutorials/running_on_jetson_nano.md - Test-Time Augmentation (TTA): yolov5/tutorials/test_time_augmentation.md - Model Ensembling: yolov5/tutorials/model_ensembling.md - Pruning/Sparsity Tutorial: yolov5/tutorials/model_pruning_and_sparsity.md - Hyperparameter evolution: yolov5/tutorials/hyperparameter_evolution.md - Transfer learning with frozen layers: yolov5/tutorials/transfer_learning_with_frozen_layers.md - Architecture Summary: yolov5/tutorials/architecture_description.md - Roboflow Datasets: yolov5/tutorials/roboflow_datasets_integration.md - Neural Magic's DeepSparse: yolov5/tutorials/neural_magic_pruning_quantization.md - Comet Logging: yolov5/tutorials/comet_logging_integration.md - Clearml Logging: yolov5/tutorials/clearml_logging_integration.md - Ultralytics HUB: - hub/index.md - Quickstart: hub/quickstart.md - Datasets: hub/datasets.md - Projects: hub/projects.md - Models: hub/models.md - Integrations: hub/integrations.md - Ultralytics HUB App: - hub/app/index.md - 'iOS': hub/app/ios.md - 'Android': hub/app/android.md - Inference API: hub/inference_api.md - Reference: - hub: - auth: reference/hub/auth.md - session: reference/hub/session.md - utils: reference/hub/utils.md - nn: - autobackend: reference/nn/autobackend.md - autoshape: reference/nn/autoshape.md - modules: - blocks: reference/nn/modules/block.md - convs: reference/nn/modules/conv.md - head: reference/nn/modules/head.md - transformer: reference/nn/modules/transformer.md - utils: reference/nn/modules/utils.md - tasks: reference/nn/tasks.md - tracker: - track: reference/tracker/track.md - trackers: - basetrack: reference/tracker/trackers/basetrack.md - bot_sort: reference/tracker/trackers/bot_sort.md - byte_tracker: reference/tracker/trackers/byte_tracker.md - utils: - gmc: reference/tracker/utils/gmc.md - kalman_filter: reference/tracker/utils/kalman_filter.md - matching: reference/tracker/utils/matching.md - yolo: - data: - annotator: reference/yolo/data/annotator.md - augment: reference/yolo/data/augment.md - base: reference/yolo/data/base.md - build: reference/yolo/data/build.md - converter: reference/yolo/data/converter.md - dataloaders: - stream_loaders: reference/yolo/data/dataloaders/stream_loaders.md - v5augmentations: reference/yolo/data/dataloaders/v5augmentations.md - v5loader: reference/yolo/data/dataloaders/v5loader.md - dataset: reference/yolo/data/dataset.md - dataset_wrappers: reference/yolo/data/dataset_wrappers.md - utils: reference/yolo/data/utils.md - engine: - exporter: reference/yolo/engine/exporter.md - model: reference/yolo/engine/model.md - predictor: reference/yolo/engine/predictor.md - results: reference/yolo/engine/results.md - trainer: reference/yolo/engine/trainer.md - validator: reference/yolo/engine/validator.md - utils: - autobatch: reference/yolo/utils/autobatch.md - benchmarks: reference/yolo/utils/benchmarks.md - callbacks: - base: reference/yolo/utils/callbacks/base.md - clearml: reference/yolo/utils/callbacks/clearml.md - comet: reference/yolo/utils/callbacks/comet.md - hub: reference/yolo/utils/callbacks/hub.md - mlflow: reference/yolo/utils/callbacks/mlflow.md - neptune: reference/yolo/utils/callbacks/neptune.md - raytune: reference/yolo/utils/callbacks/raytune.md - tensorboard: reference/yolo/utils/callbacks/tensorboard.md - wb: reference/yolo/utils/callbacks/wb.md - checks: reference/yolo/utils/checks.md - dist: reference/yolo/utils/dist.md - downloads: reference/yolo/utils/downloads.md - errors: reference/yolo/utils/errors.md - files: reference/yolo/utils/files.md - instance: reference/yolo/utils/instance.md - loss: reference/yolo/utils/loss.md - metrics: reference/yolo/utils/metrics.md - ops: reference/yolo/utils/ops.md - plotting: reference/yolo/utils/plotting.md - tal: reference/yolo/utils/tal.md - torch_utils: reference/yolo/utils/torch_utils.md - v8: - classify: - predict: reference/yolo/v8/classify/predict.md - train: reference/yolo/v8/classify/train.md - val: reference/yolo/v8/classify/val.md - detect: - predict: reference/yolo/v8/detect/predict.md - train: reference/yolo/v8/detect/train.md - val: reference/yolo/v8/detect/val.md - pose: - predict: reference/yolo/v8/pose/predict.md - train: reference/yolo/v8/pose/train.md - val: reference/yolo/v8/pose/val.md - segment: - predict: reference/yolo/v8/segment/predict.md - train: reference/yolo/v8/segment/train.md - val: reference/yolo/v8/segment/val.md - Help: - Help: help/index.md - Frequently Asked Questions (FAQ): help/FAQ.md - Contributing Guide: help/contributing.md - Continuous Integration (CI) Guide: help/CI.md - Contributor License Agreement (CLA): help/CLA.md - Minimum Reproducible Example (MRE) Guide: help/minimum_reproducible_example.md - Code of Conduct: help/code_of_conduct.md - Security Policy: SECURITY.md # Plugins including 301 redirects navigation --------------------------------------------------------------------------- plugins: - mkdocstrings - search - ultralytics: add_desc: False add_image: True add_share_buttons: True default_image: https://github.com/ultralytics/ultralytics/assets/26833433/6d09221c-c52a-4234-9a5d-b862e93c6529 - redirects: redirect_maps: callbacks.md: usage/callbacks.md cfg.md: usage/cfg.md cli.md: usage/cli.md config.md: usage/cfg.md engine.md: usage/engine.md environments/AWS-Quickstart.md: yolov5/environments/aws_quickstart_tutorial.md environments/Docker-Quickstart.md: yolov5/environments/docker_image_quickstart_tutorial.md environments/GCP-Quickstart.md: yolov5/environments/google_cloud_quickstart_tutorial.md FAQ/augmentation.md: yolov5/tutorials/tips_for_best_training_results.md package-framework.md: index.md package-framework/mock_detector.md: index.md predict.md: modes/predict.md python.md: usage/python.md quick-start.md: quickstart.md app.md: hub/app/index.md sdk.md: index.md reference/base_pred.md: reference/yolo/engine/predictor.md reference/base_trainer.md: reference/yolo/engine/trainer.md reference/exporter.md: reference/yolo/engine/exporter.md reference/model.md: reference/yolo/engine/model.md reference/nn.md: reference/nn/modules/head.md reference/ops.md: reference/yolo/utils/ops.md reference/results.md: reference/yolo/engine/results.md reference/base_val.md: index.md tasks/classification.md: tasks/classify.md tasks/detection.md: tasks/detect.md tasks/segmentation.md: tasks/segment.md tasks/keypoints.md: tasks/pose.md tasks/tracking.md: modes/track.md tutorials/architecture-summary.md: yolov5/tutorials/architecture_description.md tutorials/clearml-logging.md: 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tutorials/transfer-learning-froze-layers.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md tutorials/weights-and-biasis-logging.md: yolov5/tutorials/comet_logging_integration.md yolov5/pytorch_hub.md: yolov5/tutorials/pytorch_hub_model_loading.md yolov5/hyp_evolution.md: yolov5/tutorials/hyperparameter_evolution.md yolov5/pruning_sparsity.md: yolov5/tutorials/model_pruning_and_sparsity.md yolov5/roboflow.md: yolov5/tutorials/roboflow_datasets_integration.md yolov5/comet.md: yolov5/tutorials/comet_logging_integration.md yolov5/clearml.md: yolov5/tutorials/clearml_logging_integration.md yolov5/tta.md: yolov5/tutorials/test_time_augmentation.md yolov5/multi_gpu_training.md: yolov5/tutorials/multi_gpu_training.md yolov5/ensemble.md: yolov5/tutorials/model_ensembling.md yolov5/jetson_nano.md: yolov5/tutorials/running_on_jetson_nano.md yolov5/transfer_learn_frozen.md: yolov5/tutorials/transfer_learning_with_frozen_layers.md yolov5/neural_magic.md: 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