Hello, Joseph Redmon.
I recently trained v1, v2 and v3 separately on the voc2007+2012 training dataset using darknet. Later, map was detected on the 2007 testing dataset, but the result was beyond my expectation: on the premise of using the pre-training model provided by the website(https://pjreddie.com/), v1 reached nearly 85% map, but the mAP of v2 and v3 were 74% and 69% respectively, both of which were lower than v1. This made me very confused and curious.
For v1, I use:
./darknet yolo train cfg/yolov1/yolo.train.cfg extraction.conv.weights
For v2, I use:
./darknet detector train cfg/voc.data cfg/yolov2-voc.cfg darknet19_448.conv.23
For v3, I use:
./darknet detector train cfg/voc.data cfg/yolov3-voc.cfg darknet53.conv.74
For mAP test, I use:
./darknet detector map cfg/voc.data cfg/yolov1.cfg yolo_v1_final.weights
./darknet detector map cfg/voc.data cfg/yolov2-voc.cfg yolo_v2_final.weights
./darknet detector map cfg/voc.data cfg/yolov3-voc.cfg yolo_v3_final.weights
Can you give me some suggestions?
Regards
Hello, Joseph Redmon. I recently trained v1, v2 and v3 separately on the voc2007+2012 training dataset using darknet. Later, map was detected on the 2007 testing dataset, but the result was beyond my expectation: on the premise of using the pre-training model provided by the website(https://pjreddie.com/), v1 reached nearly 85% map, but the mAP of v2 and v3 were 74% and 69% respectively, both of which were lower than v1. This made me very confused and curious. For v1, I use: ./darknet yolo train cfg/yolov1/yolo.train.cfg extraction.conv.weights For v2, I use: ./darknet detector train cfg/voc.data cfg/yolov2-voc.cfg darknet19_448.conv.23 For v3, I use: ./darknet detector train cfg/voc.data cfg/yolov3-voc.cfg darknet53.conv.74 For mAP test, I use: ./darknet detector map cfg/voc.data cfg/yolov1.cfg yolo_v1_final.weights ./darknet detector map cfg/voc.data cfg/yolov2-voc.cfg yolo_v2_final.weights ./darknet detector map cfg/voc.data cfg/yolov3-voc.cfg yolo_v3_final.weights Can you give me some suggestions? Regards