Hi,
When trying to train a caffe model to detect dog using coco dataset. The mAP value and precision value and recall value are 0. I followed the documentation in ""https://github.com/dusty-nv/jetson-inference#locating-object-coordinates-using-detectnet" to train the data.
You can check the attachment for details.
In the attachment there could only contain part of the training data.
If you want the whole data you can check “文件分享” for details. Which contains training log. and the data set I had used. and the prototxt it generated.
Thanks.
caffe_output.log (867 KB)
dog.tar.gz (1.93 MB)