remove objects with iscrowd=True in Objects365

[tino926]

🤖 Generated by Copilot at ff08404

Summary

🚫📈🎯

Filter out crowd annotations from Objects365 dataset. This improves label quality and model performance for object detection with coco.getAnnIds(iscrowd=False) in data/Objects365.yaml.

iscrowd is false
Filter out crowd annotations
Winter of objects

Walkthrough

• Filter out crowd annotations from Objects365 dataset ([link](https://github.com/ultralytics/yolov5/pull/11788/files?diff=unified&w=0#diff-a54e9eb40255f0afce61a0d2d0b7c39d90296c11a3bb30c17241dc339fc31742L431-R431)). This improves the label quality for object detection models and avoids counting crowd regions as false positives.

according to coco.py in pycocotools:

        if not iscrowd == None:
            ids = [ann['id'] for ann in anns if ann['iscrowd'] == iscrowd]
        else:
            ids = [ann['id'] for ann in anns]

here we should set iscrowd=False to remove the crowd annotations as stated in
#3392 (comment)

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Improved annotation filtering in Objects365 dataset configuration.

📊 Key Changes

• Changed the parameter iscrowd from None to False in getAnnIds function call within Objects365 dataset YAML file.

🎯 Purpose & Impact

• 🎨 Purpose: To refine the selection of annotations by excluding 'crowd' annotations when creating label files.
• 🌐 Impact: This ensures that models trained using the Objects365 dataset will no longer use crowded bounding boxes, potentially improving detection quality by focusing on more distinct object instances. Users should experience performance boosts and more accurate training results.

[github-actions]

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[glenn-jocher]

@tino926 good fix, thanks for the PR!