what does mean by rewritten box during yolo training on custom dataset?

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I am training my custom dataset on Yolo network and during training, I am getting info of rewritten box (as shown in the figure).

for example: total_bbox = 29159, rewritten_bbox = 0.006859 %

what does that mean? Is my training proceeding right?

enter image description here

yolo deep-learning
1 Answers

optimal numbers of layers and resolution depend on dataset. The smaller objects - the higher resolution is required. The large objects - the more layers are required. There is an article on choosing the optimal number of layers, filters and resolution for MS COCO dataset: https://arxiv.org/pdf/1911.09070.pdf

It depends on what accuracy and speed do you want. To reduce rewritten_bbox % just increase resolution and/or move some masks from [yolo] layers with low resolution, the [yolo] layers with higher resolution, and train. Also iou_thresh=1 may reduce rewritten_bbox %

user_127111930
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