{"action":"created","issue":{"url":"https://api.github.com/repos/openalpr/openalpr/issues/99","repository_url":"https://api.github.com/repos/openalpr/openalpr","labels_url":"https://api.github.com/repos/openalpr/openalpr/issues/99/labels{/name}","comments_url":"https://api.github.com/repos/openalpr/openalpr/issues/99/comments","events_url":"https://api.github.com/repos/openalpr/openalpr/issues/99/events","html_url":"https://github.com/openalpr/openalpr/issues/99","id":67456307,"number":99,"title":"Implement deep learning CNN for plate detection","user":{"login":"matthill","id":508260,"avatar_url":"https://avatars.githubusercontent.com/u/508260?v=3","gravatar_id":"","url":"https://api.github.com/users/matthill","html_url":"https://github.com/matthill","followers_url":"https://api.github.com/users/matthill/followers","following_url":"https://api.github.com/users/matthill/following{/other_user}","gists_url":"https://api.github.com/users/matthill/gists{/gist_id}","starred_url":"https://api.github.com/users/matthill/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/matthill/subscriptions","organizations_url":"https://api.github.com/users/matthill/orgs","repos_url":"https://api.github.com/users/matthill/repos","events_url":"https://api.github.com/users/matthill/events{/privacy}","received_events_url":"https://api.github.com/users/matthill/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/openalpr/openalpr/labels/enhancement","name":"enhancement","color":"84b6eb"}],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":4,"created_at":"2015-04-09T21:36:19Z","updated_at":"2016-02-25T17:16:08Z","closed_at":null,"body":"Deep learning convolutional neural networks seem like the next generation for object detection.  The accuracy is significantly better, and it is not tied to particular aspect ratio.  This would work very well for places like India where the license plate formats vary significantly, and Europe and other countries that have 1-line and 2-line plates.  It also handles occlusion/rotation better.  The disadvantage is that it requires massive amounts of data and training time.\r\n\r\nhttps://www.youtube.com/watch?v=czLI3oLDe8M\r\nhttps://www.youtube.com/watch?v=S75EdAcXHKk\r\nhttp://arxiv.org/pdf/1502.02766v2.pdf\r\nhttp://caffe.berkeleyvision.org/"},"comment":{"url":"https://api.github.com/repos/openalpr/openalpr/issues/comments/188884670","html_url":"https://github.com/openalpr/openalpr/issues/99#issuecomment-188884670","issue_url":"https://api.github.com/repos/openalpr/openalpr/issues/99","id":188884670,"user":{"login":"mrgloom","id":4003908,"avatar_url":"https://avatars.githubusercontent.com/u/4003908?v=3","gravatar_id":"","url":"https://api.github.com/users/mrgloom","html_url":"https://github.com/mrgloom","followers_url":"https://api.github.com/users/mrgloom/followers","following_url":"https://api.github.com/users/mrgloom/following{/other_user}","gists_url":"https://api.github.com/users/mrgloom/gists{/gist_id}","starred_url":"https://api.github.com/users/mrgloom/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mrgloom/subscriptions","organizations_url":"https://api.github.com/users/mrgloom/orgs","repos_url":"https://api.github.com/users/mrgloom/repos","events_url":"https://api.github.com/users/mrgloom/events{/privacy}","received_events_url":"https://api.github.com/users/mrgloom/received_events","type":"User","site_admin":false},"created_at":"2016-02-25T17:16:08Z","updated_at":"2016-02-25T17:16:08Z","body":"I can test some deep learning algorithms for object detection have you any data with markup ?"}}