I use weigth of yolov4.conv.137 to training
max_batches = 5000
I trained a class of models with 1700 images ， one class detection effect, with a confidence level of 0.98
When I added 2 classes, these two classes are associated with 1400 images
gap is where I added 2 classes of corresponding images,I added 2 classes of 1400 images.
Now I have 3 classes.I use weigth of yolov4.conv.137 to training
max_batches = 50000
I use the weights obtained from training three classes to detect. The confidence level of a class is very low, with a result of 0.44. Even other images cannot be detected
The training of multiple classes has caused my detection confidence to be very low. I cannot find the reason and cannot solve this problem at present
I use weigth of yolov4.conv.137 to training max_batches = 5000 I trained a class of models with 1700 images ， one class detection effect, with a confidence level of 0.98
When I added 2 classes, these two classes are associated with 1400 images
gap is where I added 2 classes of corresponding images,I added 2 classes of 1400 images.
Now I have 3 classes.I use weigth of yolov4.conv.137 to training
max_batches = 50000
voc-dp.data.txt
yolov4-custom.cfg.txt
yolov4-custom-test.cfg.txt
I use the weights obtained from training three classes to detect. The confidence level of a class is very low, with a result of 0.44. Even other images cannot be detected
The training of multiple classes has caused my detection confidence to be very low. I cannot find the reason and cannot solve this problem at present