How to improve the mAP on my own dataset
Hi, @zhreshold I know you have improved the mAP of pascalvoc dataset by multiple modifications , now I have met a problem , when I use ssd, the accuracy on my own dataset is no better than faster-rcnn, I want to know how to improve the performance . In your code ,I have seen many data augument policy, I want to konw is there necessityto open it, and in your code, there are some parameters. I don't konw the label-width's function. Can you give me a explanation? Thank you very much!
And the pretrained model is just a vgg_reduced? Is there are better pretrained model?
I'm doing character detection, the number character mAP is very low ,just 0.90 around, but Chinese characters and letter characters is very high. Is there any way to improve it?
balancing class examples is important, I guess your number characters are very few compared to others.
Thank you, I will have a try. @zhreshold