Docs updates for HUB, YOLOv4, YOLOv7, NAS (#3174)

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Sergiu Waxmann
2023-06-15 21:17:10 +02:00
committed by GitHub
parent c340f84ce9
commit 2f02d8ea53
179 changed files with 786 additions and 206 deletions

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description: Learn how to use ClassificationPredictor in Ultralytics YOLOv8 for object classification tasks in a simple and efficient way.
keywords: Ultralytics, YOLO, v8, Classify Predictor, object detection, classification, computer vision
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# ClassificationPredictor
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# predict
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:::ultralytics.yolo.v8.classify.predict.predict
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description: Train a custom image classification model using Ultralytics YOLOv8 with ClassificationTrainer. Boost accuracy and efficiency today.
keywords: Ultralytics, YOLOv8, object detection, classification, training, API
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# ClassificationTrainer
@ -10,4 +11,4 @@ description: Train a custom image classification model using Ultralytics YOLOv8
# train
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:::ultralytics.yolo.v8.classify.train.train
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description: Ensure model classification accuracy with Ultralytics YOLO's ClassificationValidator. Validate and improve your model with ease.
keywords: ClassificationValidator, Ultralytics YOLO, Validation, Data Science, Deep Learning
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# ClassificationValidator
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# val
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:::ultralytics.yolo.v8.classify.val.val
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description: Detect and predict objects in images and videos using the Ultralytics YOLO v8 model with DetectionPredictor.
keywords: detectionpredictor, ultralytics yolo, object detection, neural network, machine learning
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# DetectionPredictor
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# predict
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:::ultralytics.yolo.v8.detect.predict.predict
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description: Train and optimize custom object detection models with Ultralytics DetectionTrainer and train functions. Get started with YOLO v8 today.
keywords: DetectionTrainer, Ultralytics YOLO, custom object detection, train models, AI applications
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# DetectionTrainer
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# train
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:::ultralytics.yolo.v8.detect.train.train
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description: Validate YOLOv5 detections using this PyTorch module. Ensure model accuracy with NMS IOU threshold tuning and label mapping.
keywords: detection, validator, YOLOv5, object detection, model improvement, Ultralytics Docs
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# DetectionValidator
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# val
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:::ultralytics.yolo.v8.detect.val.val
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description: Predict human pose coordinates and confidence scores using YOLOv5. Use on real-time video streams or static images.
keywords: Ultralytics, YOLO, v8, documentation, PosePredictor, pose prediction, pose estimation, predict method
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# PosePredictor
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# predict
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:::ultralytics.yolo.v8.pose.predict.predict
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description: Boost posture detection using PoseTrainer and train models using train() API. Learn PoseLoss for ultra-fast and accurate pose detection with Ultralytics YOLO.
keywords: PoseTrainer, human pose models, deep learning, computer vision, Ultralytics YOLO, v8
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# PoseTrainer
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# train
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:::ultralytics.yolo.v8.pose.train.train
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description: Ensure proper human poses in images with YOLOv8 Pose Validation, part of the Ultralytics YOLO v8 suite.
keywords: PoseValidator, Ultralytics YOLO, object detection, pose analysis, validation
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# PoseValidator
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# val
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:::ultralytics.yolo.v8.pose.val.val
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description: '"Use SegmentationPredictor in YOLOv8 for efficient object detection and segmentation. Explore Ultralytics YOLO Docs for more information."'
keywords: Ultralytics YOLO, SegmentationPredictor, object detection, segmentation masks, predict
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# SegmentationPredictor
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# predict
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:::ultralytics.yolo.v8.segment.predict.predict
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description: Learn about SegmentationTrainer and Train in Ultralytics YOLO v8 for efficient object detection models. Improve your training with Ultralytics Docs.
keywords: SegmentationTrainer, Ultralytics YOLO, object detection, segmentation, train, tutorial, guide, code examples
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# SegmentationTrainer
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# train
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:::ultralytics.yolo.v8.segment.train.train
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description: Ensure segmentation quality on large datasets with SegmentationValidator. Review and visualize results with ease. Learn more at Ultralytics Docs.
keywords: SegmentationValidator, YOLOv8, Ultralytics Docs, segmentation model, validation
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# SegmentationValidator
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# val
---
:::ultralytics.yolo.v8.segment.val.val
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