{"action":"created","issue":{"url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1475","repository_url":"https://api.github.com/repos/AlexeyAB/darknet","labels_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1475/labels{/name}","comments_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1475/comments","events_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1475/events","html_url":"https://github.com/AlexeyAB/darknet/issues/1475","id":353642766,"node_id":"MDU6SXNzdWUzNTM2NDI3NjY=","number":1475,"title":"Training on images with big resolution and detection small object","user":{"login":"AshleyRoth","id":37982453,"node_id":"MDQ6VXNlcjM3OTgyNDUz","avatar_url":"https://avatars0.githubusercontent.com/u/37982453?v=4","gravatar_id":"","url":"https://api.github.com/users/AshleyRoth","html_url":"https://github.com/AshleyRoth","followers_url":"https://api.github.com/users/AshleyRoth/followers","following_url":"https://api.github.com/users/AshleyRoth/following{/other_user}","gists_url":"https://api.github.com/users/AshleyRoth/gists{/gist_id}","starred_url":"https://api.github.com/users/AshleyRoth/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AshleyRoth/subscriptions","organizations_url":"https://api.github.com/users/AshleyRoth/orgs","repos_url":"https://api.github.com/users/AshleyRoth/repos","events_url":"https://api.github.com/users/AshleyRoth/events{/privacy}","received_events_url":"https://api.github.com/users/AshleyRoth/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-08-24T04:43:35Z","updated_at":"2018-08-25T10:31:59Z","closed_at":null,"author_association":"NONE","body":"Hello @AlexeyAB I apologize for the questions that have been asked many times before. I would like to clarify a few things.\r\n\r\n1 - what is the optimal image resolution for learning? Can I train with images of size 2560x1280?\r\n\r\n2 - from the camera I get an image with a resolution of 2560x1280, I encountered the problem of recognizing an object that is at a distance of 40-50 meters (on the frame a small object). How can I recognize this object? The height and width in the configuration file is 608x608. Can you help me please? Thanks!"},"comment":{"url":"https://api.github.com/repos/AlexeyAB/darknet/issues/comments/415959767","html_url":"https://github.com/AlexeyAB/darknet/issues/1475#issuecomment-415959767","issue_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1475","id":415959767,"node_id":"MDEyOklzc3VlQ29tbWVudDQxNTk1OTc2Nw==","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":"2018-08-25T10:31:59Z","updated_at":"2018-08-25T10:31:59Z","author_association":"OWNER","body":"@AshleyRoth In general you can use any resolution of images with any aspect ratio. \r\n\r\nThe simplest way - just try to train your model, and check mAP (accuracy) on your test dataset. If accuracy is high, then this is optimal image resolution in your training dataset.\r\n\r\n----\r\n\r\nOr you can try to calculate anchors on Training dataset and Test dataset. If anchors in Training and Test datasets will be at least approximately the same, and higher than `1.0`, then you can use such Training dataset.\r\nIf they will differ many times, then you can't use such Training dataset for detection on such Test images."}}
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