{"action":"created","issue":{"url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1192","repository_url":"https://api.github.com/repos/AlexeyAB/darknet","labels_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1192/labels{/name}","comments_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1192/comments","events_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1192/events","html_url":"https://github.com/AlexeyAB/darknet/issues/1192","id":340532679,"node_id":"MDU6SXNzdWUzNDA1MzI2Nzk=","number":1192,"title":"Error values during training with my own dataset","user":{"login":"emmava","id":41143473,"node_id":"MDQ6VXNlcjQxMTQzNDcz","avatar_url":"https://avatars1.githubusercontent.com/u/41143473?v=4","gravatar_id":"","url":"https://api.github.com/users/emmava","html_url":"https://github.com/emmava","followers_url":"https://api.github.com/users/emmava/followers","following_url":"https://api.github.com/users/emmava/following{/other_user}","gists_url":"https://api.github.com/users/emmava/gists{/gist_id}","starred_url":"https://api.github.com/users/emmava/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/emmava/subscriptions","organizations_url":"https://api.github.com/users/emmava/orgs","repos_url":"https://api.github.com/users/emmava/repos","events_url":"https://api.github.com/users/emmava/events{/privacy}","received_events_url":"https://api.github.com/users/emmava/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-07-12T08:11:53Z","updated_at":"2018-07-23T00:13:42Z","closed_at":null,"author_association":"NONE","body":"Hi, I want to train yolov3 with my own dataset but error values (-1.#IND00) don't disappear even after more than 3000 iterations as it is shown on the picture below. I do have values for avg loss and Learning rate but all the values during iteration are incorrect.\r\n\r\n![training_error](https://user-images.githubusercontent.com/41143473/42620325-f8b5b864-85ba-11e8-86b0-a1f53a09c1d3.png)\r\n\r\nHere some more infos:\r\n- Using CUDA 9.2 cuDNN 7.1\r\n- Boxes made with Bbox-Label-Tool and converted to yolo format\r\n- batch = 64 and subdivision = 64\r\n- Photos are in /data/training_set/Images directory\r\n- Labels are in /data/training_set/Labels directory\r\n- .data file '/data/training/Images/Img0001.JPG'\r\n\r\nDon't hesitate if you need more info to explain this issue, thanks a lot"},"comment":{"url":"https://api.github.com/repos/AlexeyAB/darknet/issues/comments/406908331","html_url":"https://github.com/AlexeyAB/darknet/issues/1192#issuecomment-406908331","issue_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1192","id":406908331,"node_id":"MDEyOklzc3VlQ29tbWVudDQwNjkwODMzMQ==","user":{"login":"AlexeyAB","id":4096485,"node_id":"MDQ6VXNlcjQwOTY0ODU=","avatar_url":"https://avatars3.githubusercontent.com/u/4096485?v=4","gravatar_id":"","url":"https://api.github.com/users/AlexeyAB","html_url":"https://github.com/AlexeyAB","followers_url":"https://api.github.com/users/AlexeyAB/followers","following_url":"https://api.github.com/users/AlexeyAB/following{/other_user}","gists_url":"https://api.github.com/users/AlexeyAB/gists{/gist_id}","starred_url":"https://api.github.com/users/AlexeyAB/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AlexeyAB/subscriptions","organizations_url":"https://api.github.com/users/AlexeyAB/orgs","repos_url":"https://api.github.com/users/AlexeyAB/repos","events_url":"https://api.github.com/users/AlexeyAB/events{/privacy}","received_events_url":"https://api.github.com/users/AlexeyAB/received_events","type":"User","site_admin":false},"created_at":"2018-07-23T00:13:42Z","updated_at":"2018-07-23T00:13:42Z","author_association":"OWNER","body":"@emmava Hi,\r\n\r\nLooks like something in your dataset was wrong (may be train.txt)\r\n\r\nhttps://github.com/AlexeyAB/darknet#how-to-improve-object-detection\r\n\r\n> check that each object are mandatory labeled in your dataset - no one object in your data set should not be without label. In the most training issues - there are wrong labels in your dataset (got labels by using some conversion script, marked with a third-party tool, ...). **Always check your dataset by using: https://github.com/AlexeyAB/Yolo_mark**"}}
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