{"action":"created","issue":{"url":"https://api.github.com/repos/tryolabs/luminoth/issues/166","repository_url":"https://api.github.com/repos/tryolabs/luminoth","labels_url":"https://api.github.com/repos/tryolabs/luminoth/issues/166/labels{/name}","comments_url":"https://api.github.com/repos/tryolabs/luminoth/issues/166/comments","events_url":"https://api.github.com/repos/tryolabs/luminoth/issues/166/events","html_url":"https://github.com/tryolabs/luminoth/issues/166","id":309244562,"number":166,"title":"SSD model: Get very low result on VOC 2007 test data, with enough training steps","user":{"login":"jfojfo","id":456453,"avatar_url":"https://avatars1.githubusercontent.com/u/456453?v=4","gravatar_id":"","url":"https://api.github.com/users/jfojfo","html_url":"https://github.com/jfojfo","followers_url":"https://api.github.com/users/jfojfo/followers","following_url":"https://api.github.com/users/jfojfo/following{/other_user}","gists_url":"https://api.github.com/users/jfojfo/gists{/gist_id}","starred_url":"https://api.github.com/users/jfojfo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jfojfo/subscriptions","organizations_url":"https://api.github.com/users/jfojfo/orgs","repos_url":"https://api.github.com/users/jfojfo/repos","events_url":"https://api.github.com/users/jfojfo/events{/privacy}","received_events_url":"https://api.github.com/users/jfojfo/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-03-28T07:04:23Z","updated_at":"2018-03-28T18:22:17Z","closed_at":null,"author_association":"NONE","body":"does SSD model work now ? \r\ngot the following result with default ssd config\r\nAverage Precision (AP) @ [0.50] = 0.523\r\n\r\ntrained with enough steps"},"comment":{"url":"https://api.github.com/repos/tryolabs/luminoth/issues/comments/376986781","html_url":"https://github.com/tryolabs/luminoth/issues/166#issuecomment-376986781","issue_url":"https://api.github.com/repos/tryolabs/luminoth/issues/166","id":376986781,"user":{"login":"joaqo","id":14966348,"avatar_url":"https://avatars0.githubusercontent.com/u/14966348?v=4","gravatar_id":"","url":"https://api.github.com/users/joaqo","html_url":"https://github.com/joaqo","followers_url":"https://api.github.com/users/joaqo/followers","following_url":"https://api.github.com/users/joaqo/following{/other_user}","gists_url":"https://api.github.com/users/joaqo/gists{/gist_id}","starred_url":"https://api.github.com/users/joaqo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/joaqo/subscriptions","organizations_url":"https://api.github.com/users/joaqo/orgs","repos_url":"https://api.github.com/users/joaqo/repos","events_url":"https://api.github.com/users/joaqo/events{/privacy}","received_events_url":"https://api.github.com/users/joaqo/received_events","type":"User","site_admin":false},"created_at":"2018-03-28T18:22:17Z","updated_at":"2018-03-28T18:22:17Z","author_association":"CONTRIBUTOR","body":"hey @jfojfo ! Would you mind telling me how many steps you run it for? And at what learning rates?\r\n\r\nOn my latest train I got 0.70 on our @.50 metric and 0.755 on pascal's official metric, which filters out hard examples and is what they used on the paper to get their 0.772 mAP. Keep in mind that this version is hardcoded to batch_size = 1, so you'll need many more steps than what they quote on the paper. I am currently implementing a PR which allows you to choose your batch size, so that'll be fixed soon.\r\n\r\nAlso, choosing a non optimal batch size has been shown to decrease final performance, so I hope allowing us to choose batch size will let us get that extra 0.017 we are missing to get to the paper's performance!"}}
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