{"action":"closed","issue":{"url":"https://api.github.com/repos/fizyr/keras-retinanet/issues/762","repository_url":"https://api.github.com/repos/fizyr/keras-retinanet","labels_url":"https://api.github.com/repos/fizyr/keras-retinanet/issues/762/labels{/name}","comments_url":"https://api.github.com/repos/fizyr/keras-retinanet/issues/762/comments","events_url":"https://api.github.com/repos/fizyr/keras-retinanet/issues/762/events","html_url":"https://github.com/fizyr/keras-retinanet/issues/762","id":373524931,"node_id":"MDU6SXNzdWUzNzM1MjQ5MzE=","number":762,"title":"when I trained on my own dataset had gotten a great result on val_set(about loss :0.05 and mAP 0.97), but get a bad result on test_set","user":{"login":"vincezengqiang","id":38197855,"node_id":"MDQ6VXNlcjM4MTk3ODU1","avatar_url":"https://avatars1.githubusercontent.com/u/38197855?v=4","gravatar_id":"","url":"https://api.github.com/users/vincezengqiang","html_url":"https://github.com/vincezengqiang","followers_url":"https://api.github.com/users/vincezengqiang/followers","following_url":"https://api.github.com/users/vincezengqiang/following{/other_user}","gists_url":"https://api.github.com/users/vincezengqiang/gists{/gist_id}","starred_url":"https://api.github.com/users/vincezengqiang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vincezengqiang/subscriptions","organizations_url":"https://api.github.com/users/vincezengqiang/orgs","repos_url":"https://api.github.com/users/vincezengqiang/repos","events_url":"https://api.github.com/users/vincezengqiang/events{/privacy}","received_events_url":"https://api.github.com/users/vincezengqiang/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-10-24T14:52:52Z","updated_at":"2018-10-26T06:08:15Z","closed_at":"2018-10-26T06:08:15Z","author_association":"NONE","body":"I prepare a train set and val set to train the net, and get the message that the loss decrease to 0.05(the regression loss is about 0.048), and the evaluate message of mAP after the last epoch is about 0.96.\r\nAnd  then i convert the train model to inference model, and run the net on my test set, the result is so bad.I even try to test the net on the val set which used to evaluate during the train, get a bad result either.\r\nCould you please give me some advices? \r\nSincerely!\r\n"}}
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