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A caffe implementation of MobileNet-SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Network | mAP | Download | Download |
---|---|---|---|
MobileNet-SSD | 72.7 | train | deploy |
ln -s PATH_TO_YOUR_TRAIN_LMDB trainval_lmdb
ln -s PATH_TO_YOUR_TEST_LMDB test_lmdb
There are 2 primary differences between this model and MobileNet-SSD on tensorflow:
I trained this model from a MobileNet classifier(caffemodel and prototxt) converted from tensorflow. I first trained the model on MS-COCO and then fine-tuned on VOC0712. Without MS-COCO pretraining, it can only get mAP=0.68.
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