David Jeon
David Jeon
I add more train dataset with VOC2007 and VOC2012. The total loss also dose not converge.   I use ssd_300_vgg as pre-trained data(Fine-tuning existing SSD checkpoints) instead of vgg_16(Fine-tuning...
I got same problem with vgg_16(Fine-tuning a network trained on ImageNet) setting.  The loss is bigger than 300_vgg.
I didn't test evaluation set after training. It was used for temporary to check the code is working. The detected image is from ipynb code. If the detected image is...