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Low mAP of yolo-tiny-prn. #4091
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What mAP did you get on?
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@AlexeyAB |
How many iterations did you train both cfg-files? |
50000 iterations,for 20 classes in VOC dataset |
@WongKinYiu thanks very much for your repo. |
@WongKinYiu So you used prn.conv.15 and get 64% mAP? |
i do not save the chart. however, 68% mAP is better than 64%, it is a good news. |
hi @WongKinYiu |
Thank you for experiments! I have two quesetions.
training from imagenet pretrained model? or training from scratch?
Did you normalize the input image by mean and std value? If you did, what do you use mean and std from imagenet or voc dataset? |
w\o = without, without coco pretrain.
from imagenet pretrain
/255. |
@WongKinYiu |
I have new two question.
same with /255.?
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I trained yolo-tiny-prn.cfg on VOC dataset with yolo-tiny-conv.13 as pretrain model.
I got 66%mAP on VOC of yolov3-tiny.cfg
But yolov3-tiny-prn.cfg got a lower mAP .
Have you ever trained it on your own dataset?
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