Now training models..

backbone	resolution	VOCmAP	COCOmAP	Inference[ms]	model
EfficientnetB0(wo/BiFPN)	512	77.0	TBD
EfficientnetB0(w/BiFPN)	512	77.2	TBD
EfficientnetB2(wo/BiFPN)	768	TBD	TBD
EfficientnetB2(w/BiFPN)	768	TBD	TBD
EfficientnetB4(wo/BiFPN)	1024	TBD	TBD
EfficientnetB4(w/BiFPN)	1024	TBD	TBD
EfficientnetB6(wo/BiFPN)	1408	TBD	TBD
EfficientnetB6(w/BiFPN)	1408	TBD	TBD

efficientdet.pytorch

unofficial implementation of efficientdet

• supported efficientnet backbone (B0 for now)
• supported resnet backbone.
• supports BiFPN.
• supports VOC and COCO training.

requirements

pip install --upgrade efficientnet-pytorch

PASCAL-VOC training

• see train_efficientdet.ipynb
• see eval.ipynb for evaluation

COCO training

• see train_efficientdet.ipynb and configure MS-COCO dataset.

FP16 training

• see train_fp16_apex.ipynb