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Dear Adam,
I try to regenerate your result but falled. Using VOC2007(random 80% for training, 10%for val 10% for test) without any other data, without any preload weight, just use your code (freeze 20epoch and unfreeze 20epoch), the mAP on 20 classes only achieve ~35%(IOU 0.5 using Object-Detection-Metrics), far away from your 64%.
Would you please show your strategy or detail steps?
Thanks.
Yongfeng
The text was updated successfully, but these errors were encountered:
BTW, i use https://github.com/fsx950223/mobilenetv2-yolov3 mobilev2-yolov3 same dataset(voc2007) and achieve ~55% mAP(IOU 0.5) still lower than the authors' 61%, but it seems possible. But your result seems too good...
Dear Adam,
I try to regenerate your result but falled. Using VOC2007(random 80% for training, 10%for val 10% for test) without any other data, without any preload weight, just use your code (freeze 20epoch and unfreeze 20epoch), the mAP on 20 classes only achieve ~35%(IOU 0.5 using Object-Detection-Metrics), far away from your 64%.
Would you please show your strategy or detail steps?
Thanks.
Yongfeng
The text was updated successfully, but these errors were encountered: