{"action":"created","issue":{"url":"https://api.github.com/repos/nyanp/tiny-cnn/issues/18","labels_url":"https://api.github.com/repos/nyanp/tiny-cnn/issues/18/labels{/name}","comments_url":"https://api.github.com/repos/nyanp/tiny-cnn/issues/18/comments","events_url":"https://api.github.com/repos/nyanp/tiny-cnn/issues/18/events","html_url":"https://github.com/nyanp/tiny-cnn/issues/18","id":72939264,"number":18,"title":"Can I use tiny-cnn for classifying human and car?","user":{"login":"younglittlefat","id":12229559,"avatar_url":"https://avatars.githubusercontent.com/u/12229559?v=3","gravatar_id":"","url":"https://api.github.com/users/younglittlefat","html_url":"https://github.com/younglittlefat","followers_url":"https://api.github.com/users/younglittlefat/followers","following_url":"https://api.github.com/users/younglittlefat/following{/other_user}","gists_url":"https://api.github.com/users/younglittlefat/gists{/gist_id}","starred_url":"https://api.github.com/users/younglittlefat/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/younglittlefat/subscriptions","organizations_url":"https://api.github.com/users/younglittlefat/orgs","repos_url":"https://api.github.com/users/younglittlefat/repos","events_url":"https://api.github.com/users/younglittlefat/events{/privacy}","received_events_url":"https://api.github.com/users/younglittlefat/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":3,"created_at":"2015-05-04T07:02:14Z","updated_at":"2015-06-19T03:17:59Z","closed_at":null,"body":"Dear nyanp:\r\n  Tiny-cnn is a CNN of smart and excellent which can be used in Windows. I've been studying to it for several days, and I got some problems recently.\r\n\r\n  I try to use tiny-cnn for classifying human and car. I label images of human to 0 and car to 1. These images are convert to gray-scale and resize to 32x32. Default setting has been used but the output dimension of the last fully connected layer has been changed to 2.\r\n\r\n  All images are took from surveillant video, but images of human are from one camera and cars are from another. The subject occupies the main space in every image.\r\n\r\n  Now something strange happens. All the outputs of testing set are 1, i.e. car. I have no idea wether problem comes from data set or settings of tiny-cnn. \r\n\r\n  If more detail is needed, I'll reply as far as possible. Thanks very much!\r\n\r\n Best regards,\r\n younglittlefat"},"comment":{"url":"https://api.github.com/repos/nyanp/tiny-cnn/issues/comments/113356055","html_url":"https://github.com/nyanp/tiny-cnn/issues/18#issuecomment-113356055","issue_url":"https://api.github.com/repos/nyanp/tiny-cnn/issues/18","id":113356055,"user":{"login":"GangFang","id":10890345,"avatar_url":"https://avatars.githubusercontent.com/u/10890345?v=3","gravatar_id":"","url":"https://api.github.com/users/GangFang","html_url":"https://github.com/GangFang","followers_url":"https://api.github.com/users/GangFang/followers","following_url":"https://api.github.com/users/GangFang/following{/other_user}","gists_url":"https://api.github.com/users/GangFang/gists{/gist_id}","starred_url":"https://api.github.com/users/GangFang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/GangFang/subscriptions","organizations_url":"https://api.github.com/users/GangFang/orgs","repos_url":"https://api.github.com/users/GangFang/repos","events_url":"https://api.github.com/users/GangFang/events{/privacy}","received_events_url":"https://api.github.com/users/GangFang/received_events","type":"User","site_admin":false},"created_at":"2015-06-19T03:17:59Z","updated_at":"2015-06-19T03:17:59Z","body":"Yup, just forgot to mention that I use MNISTEN to create a test set with 15,000 images from those 50,000 images (so the training set includes roughly 17,500 class 1 images and 17,500 class 2 images). \r\n\r\nAnd the result is always 8,486/15,000."}}