OBB Docs updates (#7512)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Muhammad Rizwan Munawar <chr043416@gmail.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
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description: Detailed guide on using YOLO with DOTA dataset for object detection, including dataset preparation, image splitting, and label handling.
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keywords: Ultralytics, YOLO, DOTA dataset, object detection, image processing, python, dataset preparation, image splitting, label handling, YOLO with DOTA, computer vision, AI, machine learning
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# Reference for `ultralytics/data/split_dota.py`
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!!! Note
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description: Discover OBBPredictor for YOLO, specializing in Oriented Bounding Box predictions. Essential for advanced object detection with Ultralytics YOLO.
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keywords: Ultralytics, OBBPredictor, YOLO, Oriented Bounding Box, object detection, advanced object detection, YOLO model, deep learning, AI, machine learning, computer vision, OBB detection
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# Reference for `ultralytics/models/yolo/obb/predict.py`
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!!! Note
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description: Master the Ultralytics YOLO OBB Trainer: A specialized tool for training YOLO models using Oriented Bounding Boxes. Features detailed usage, model initialization, and training processes.
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keywords: Ultralytics, YOLO OBB Trainer, Oriented Bounding Box, OBB model training, YOLO model training, computer vision, deep learning, machine learning, YOLO object detection, model initialization, YOLO training process
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# Reference for `ultralytics/models/yolo/obb/train.py`
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!!! Note
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description: Learn about Ultralytics' advanced OBBValidator, an extension of YOLO object detection for oriented bounding box validation.
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keywords: Ultralytics, YOLO, OBBValidator, object detection, oriented bounding box, OBB, machine learning, AI, deep learning, Python, YOLO model, image processing, computer vision, YOLO object detection
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# Reference for `ultralytics/models/yolo/obb/val.py`
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!!! Note
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