caffe-yolo-face-detection
caffe-yolo-face-detection copied to clipboard
Poor performance on UCCS dataset
Hi I have tried your model to detect faces on the UnConstrained College Students (UCCS) dataset (http://vast.uccs.edu/Opensetface/) , but is performing very poorly.
In total: 11110 faces, 70 detected faces and 3466 false alarms Accuracy: 0.0063006300630063005
I have tried to change the overlap_thresh = 0.5; to 0.4 in yolo.cpp. but still not much improvement. Is there any other parameters that I can tune to get improved results?
Thanks in advance.