Hello, I created a simple yoloV4 tiny with transfer learning to recognize flowers, I used 260 images with 1 class and I trained the model with following command : ./darknet detector train data/obj.data data/yolov4-tiny.cfg data/yolov4-tiny.conv.29 -dont_show -map. I trained for about 500 epochs and loss is 1. I can't upload an image because i compiled darknet with opencv but you can see micro bounding boxes with all 100 percent chance on the image, (the image is from train set, so I expect it to be good) but no.
I really don't know what to do I really need help.
PS : I don't have -nan values in training and it seems to be normal.
Hello, I created a simple yoloV4 tiny with transfer learning to recognize flowers, I used 260 images with 1 class and I trained the model with following command : ./darknet detector train data/obj.data data/yolov4-tiny.cfg data/yolov4-tiny.conv.29 -dont_show -map. I trained for about 500 epochs and loss is 1. I can't upload an image because i compiled darknet with opencv but you can see micro bounding boxes with all 100 percent chance on the image, (the image is from train set, so I expect it to be good) but no. I really don't know what to do I really need help. PS : I don't have -nan values in training and it seems to be normal.