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I am using YOLOv7 trained on custom dataset, and using the model weights after converting to ONNX for CVAT annotation. There it's only predicting few small objects. Is there any limit on small object detection in YOLOv7. In every image, it's only predicting first 3-4 characters in the plate.

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As explained in the question https://stackoverflow.com/questions/75507636/is-there-any-limit-to-detected-objects-in-yolov7, while converting to ONNX, I modified the 'topk-all' to 400, but still no change in result

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Resolved it by increasing the epoch.

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