Now it's training on a K80, iter 24k

• Current mAP: 0.751 (Expected 0.772)
• Current iteration number: 45k
• Train from pretrained vgg weight
• With data augmentation
• Training dataset: Pascal 07 + 12
• Val dataset: Pascal 07test
• Train log: res.json

1. Update config.py, set paths
2. Command line: python train.py

• You can download pretrained vgg weight here.
• You can download annotation file in json format here
• You can download Pascal dataset here
• It's still dirty code, wait to refine

• https://github.com/fastai/fastai
• https://github.com/amdegroot/ssd.pytorch
• Liu, Wei, et al. "SSD: Single shot multibox detector." European conference on computer vision. Springer, Cham, 2016.

• Training dataset only
• Exponentially weighted average