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Can YOLOv4 Be Trained with Polygon Annotations Instead of Rectangular Bounding Boxes?

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Please provide the following information when requesting support.

• Hardware (T4/V100/Xavier/Nano/etc) : A6000
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc) : Yolo_v4
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here) : 5.3.0
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)

I’m working on a project where my objects of interest are better represented by polygons rather than rectangular bounding boxes.
Is it possible to train a YOLOv4 model using polygon annotations instead of rectangles?

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