rykov8/ssd_keras

Re-implemented SSD has high loss and low acc during training

Opened this issue · 3 comments

Yurodidon commented

I implemented the SSD follow this project, but when I was training on PASCAL VOC2007 dataset, the acc became smaller and smaller, at the same time the loss is around 4.0.

The codes are available on https://github.com/CeLaMbDa/keras_SSD

Ryo-Kawanami commented

I'm also same situation...
I have trained during 16 epoch, but loss, acc, val_loss, val_acc are almost same.

Ryo-Kawanami commented

Could anybody who knows this situation help?

Yurodidon commented

Hi Ryo-Kawanam, I think I found the reason of this situation!
Check these:

  1. Do not use metrics in training, I don't know why, but still, when I delete those metrics, the network works much better.
  2. You should compile model after freezing layers, this was pointed out in the official document, please refer to https://keras.io/getting-started/faq/#how-can-i-freeze-keras-layers
  3. Use a fit learning rate, the can't be to small or too big, if it is too small it might lead the weights can't change.