Model URL: https://dl.dropboxusercontent.com/s/cotx0y81zvbbhnt/coco_vgg16_faster_rcnn_final.caffemodel?dl=0
Training command:
tools/train_net.py \
--gpu 0 \
--solver ./models/coco/VGG16/faster_rcnn_end2end/solver.prototxt \
--weights data/imagenet_models/VGG16.v2.caffemodel \
--imdb coco_2014_train+coco_2014_valminusminival \
--iters 490000 \
--cfg ./experiments/cfgs/faster_rcnn_end2end.yml
py-faster-rcnn
commit: 68eec95
test-dev2015 results
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.242
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.453
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.235
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.077
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.264
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.371
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.238
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.340
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.346
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.120
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.385
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.544
test-standard2015 results
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.242
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.453
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.234
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.072
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.264
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.369
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.238
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.341
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.347
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.115
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.389
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.544