{"action":"created","issue":{"url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1342","repository_url":"https://api.github.com/repos/AlexeyAB/darknet","labels_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1342/labels{/name}","comments_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1342/comments","events_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1342/events","html_url":"https://github.com/AlexeyAB/darknet/issues/1342","id":347851290,"node_id":"MDU6SXNzdWUzNDc4NTEyOTA=","number":1342,"title":"about training my own dataset","user":{"login":"franklu323","id":28680833,"node_id":"MDQ6VXNlcjI4NjgwODMz","avatar_url":"https://avatars0.githubusercontent.com/u/28680833?v=4","gravatar_id":"","url":"https://api.github.com/users/franklu323","html_url":"https://github.com/franklu323","followers_url":"https://api.github.com/users/franklu323/followers","following_url":"https://api.github.com/users/franklu323/following{/other_user}","gists_url":"https://api.github.com/users/franklu323/gists{/gist_id}","starred_url":"https://api.github.com/users/franklu323/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/franklu323/subscriptions","organizations_url":"https://api.github.com/users/franklu323/orgs","repos_url":"https://api.github.com/users/franklu323/repos","events_url":"https://api.github.com/users/franklu323/events{/privacy}","received_events_url":"https://api.github.com/users/franklu323/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-08-06T09:41:40Z","updated_at":"2018-08-06T10:32:14Z","closed_at":null,"author_association":"NONE","body":"hi, I'm trying to use my own dataset to train the yolov3.  I have 1900 image in total and 5 classes and I set batch=64 and sub=32. right now, it seems right in training. but I am confused that for each iteration, I got some nan in avg iou, class.... it like \r\n![capture](https://user-images.githubusercontent.com/28680833/43709142-312037b0-99c0-11e8-9229-feb35da38390.JPG)\r\nI don't know that my training is going into the right way or not?? and what is the 'count' for. because in my training, count is like only 1 or 2. can you help me out?? Is the 'count' also will infect the result or just the iterations are still too low (right now it just 430). \r\nI searched that 'count' means that the number of TP samples. so if the meaning is right, is my count number like really low or not?? if it's really low, how can I improve my count??\r\nthank you so much\r\n@AlexeyAB \r\n "},"comment":{"url":"https://api.github.com/repos/AlexeyAB/darknet/issues/comments/410664561","html_url":"https://github.com/AlexeyAB/darknet/issues/1342#issuecomment-410664561","issue_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1342","id":410664561,"node_id":"MDEyOklzc3VlQ29tbWVudDQxMDY2NDU2MQ==","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":"2018-08-06T10:32:14Z","updated_at":"2018-08-06T10:32:14Z","author_association":"OWNER","body":"Training goes well\r\n\r\nhttps://github.com/AlexeyAB/darknet#how-to-train-to-detect-your-custom-objects\r\n\r\n> Note: If during training you see nan values for avg (loss) field - then training goes wrong, but if nan is in some other lines - then training goes well."}}
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