"I have solved this problem now, mainly because the data set is too small, and another reason is that the features obtained by the model at the initial stage of training are not obvious and cannot be recognized. The model I am training now is in the first two rounds. P, R, mAP are still 0, but it will be normal by the third round."
Hello @lemon1022 ,
Do you mean that you trained your model 3 times until it generated values for the P, R & mAp ?
Can you please elaborate more @lemon1022 on how you solved this issue please?
Thank you,
FYI : I'm working on a 2000 images for training dataset and i'm getting so little of right box predictions in image batch0_pred and all of the performance metrics P, R & mAp are equal to 0.
"I have solved this problem now, mainly because the data set is too small, and another reason is that the features obtained by the model at the initial stage of training are not obvious and cannot be recognized. The model I am training now is in the first two rounds. P, R, mAP are still 0, but it will be normal by the third round."
Hello @lemon1022 ,
Do you mean that you trained your model 3 times until it generated values for the P, R & mAp ?
Can you please elaborate more @lemon1022 on how you solved this issue please?
Thank you,
FYI : I'm working on a 2000 images for training dataset and i'm getting so little of right box predictions in image batch0_pred and all of the performance metrics P, R & mAp are equal to 0.