{"action":"created","issue":{"url":"https://api.github.com/repos/eric612/MobileNet-YOLO/issues/38","repository_url":"https://api.github.com/repos/eric612/MobileNet-YOLO","labels_url":"https://api.github.com/repos/eric612/MobileNet-YOLO/issues/38/labels{/name}","comments_url":"https://api.github.com/repos/eric612/MobileNet-YOLO/issues/38/comments","events_url":"https://api.github.com/repos/eric612/MobileNet-YOLO/issues/38/events","html_url":"https://github.com/eric612/MobileNet-YOLO/issues/38","id":390658175,"node_id":"MDU6SXNzdWUzOTA2NTgxNzU=","number":38,"title":"About train and in-traing validation(overfitting?)","user":{"login":"qiangqiu","id":21115649,"node_id":"MDQ6VXNlcjIxMTE1NjQ5","avatar_url":"https://avatars3.githubusercontent.com/u/21115649?v=4","gravatar_id":"","url":"https://api.github.com/users/qiangqiu","html_url":"https://github.com/qiangqiu","followers_url":"https://api.github.com/users/qiangqiu/followers","following_url":"https://api.github.com/users/qiangqiu/following{/other_user}","gists_url":"https://api.github.com/users/qiangqiu/gists{/gist_id}","starred_url":"https://api.github.com/users/qiangqiu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/qiangqiu/subscriptions","organizations_url":"https://api.github.com/users/qiangqiu/orgs","repos_url":"https://api.github.com/users/qiangqiu/repos","events_url":"https://api.github.com/users/qiangqiu/events{/privacy}","received_events_url":"https://api.github.com/users/qiangqiu/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2018-12-13T12:32:05Z","updated_at":"2018-12-13T15:32:49Z","closed_at":null,"author_association":"NONE","body":"Hi, I wanna create a pedestrian detection model(detect pedestrian, 1 class),  and I have prepared a dataset contains about 9000+ train images and 1000+ val images. when I use this dataset in both yolov3 or mobilenet-yolov3, I got avg_obj about 0.6 and avg_iou about 0.55, the loss value about 3 to 6, but each 1000 iters I test my model I got the detection_eval mAP was about 0.000* to 0.0*, a very samll number. This problem occured whenever I train my model for start or in the 5-8 epoch or in the end. So, could you ploese tell me what causes this problem probobly? I have checked my dataset and it's fine. Do you think resize the image in the aspect ratio level will cause this problem? thanks so much!\r\n\r\nthis is the train log\r\n...\r\navg_noobj: 0.0010526 avg_obj: 0.400564 avg_iou: 0.762177 avg_cat: 0.987689 recall: 0.958333 recall75: 0.630952 count: 4\r\n...\r\nI1213 20:31:15.950788  6814 solver.cpp:548] class1: 0.000429772\r\nI1213 20:31:15.950799  6814 solver.cpp:554]     Test net output #6: detection_eval_60 = 0.000429772"},"comment":{"url":"https://api.github.com/repos/eric612/MobileNet-YOLO/issues/comments/447010657","html_url":"https://github.com/eric612/MobileNet-YOLO/issues/38#issuecomment-447010657","issue_url":"https://api.github.com/repos/eric612/MobileNet-YOLO/issues/38","id":447010657,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0NzAxMDY1Nw==","user":{"login":"qiangqiu","id":21115649,"node_id":"MDQ6VXNlcjIxMTE1NjQ5","avatar_url":"https://avatars3.githubusercontent.com/u/21115649?v=4","gravatar_id":"","url":"https://api.github.com/users/qiangqiu","html_url":"https://github.com/qiangqiu","followers_url":"https://api.github.com/users/qiangqiu/followers","following_url":"https://api.github.com/users/qiangqiu/following{/other_user}","gists_url":"https://api.github.com/users/qiangqiu/gists{/gist_id}","starred_url":"https://api.github.com/users/qiangqiu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/qiangqiu/subscriptions","organizations_url":"https://api.github.com/users/qiangqiu/orgs","repos_url":"https://api.github.com/users/qiangqiu/repos","events_url":"https://api.github.com/users/qiangqiu/events{/privacy}","received_events_url":"https://api.github.com/users/qiangqiu/received_events","type":"User","site_admin":false},"created_at":"2018-12-13T15:32:49Z","updated_at":"2018-12-13T15:32:49Z","author_association":"NONE","body":"I have also checked the num of class in train an test. and every output layers relative with the num_classes. Is the mobilenet_lite model I used too simple to learn from the data or too complex lead to the overfitting?"}}
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