{"action":"created","issue":{"url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/1051","repository_url":"https://api.github.com/repos/matterport/Mask_RCNN","labels_url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/1051/labels{/name}","comments_url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/1051/comments","events_url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/1051/events","html_url":"https://github.com/matterport/Mask_RCNN/issues/1051","id":372461737,"node_id":"MDU6SXNzdWUzNzI0NjE3Mzc=","number":1051,"title":"How can i manage with imbalance class","user":{"login":"5730279821-TA","id":13790823,"node_id":"MDQ6VXNlcjEzNzkwODIz","avatar_url":"https://avatars0.githubusercontent.com/u/13790823?v=4","gravatar_id":"","url":"https://api.github.com/users/5730279821-TA","html_url":"https://github.com/5730279821-TA","followers_url":"https://api.github.com/users/5730279821-TA/followers","following_url":"https://api.github.com/users/5730279821-TA/following{/other_user}","gists_url":"https://api.github.com/users/5730279821-TA/gists{/gist_id}","starred_url":"https://api.github.com/users/5730279821-TA/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/5730279821-TA/subscriptions","organizations_url":"https://api.github.com/users/5730279821-TA/orgs","repos_url":"https://api.github.com/users/5730279821-TA/repos","events_url":"https://api.github.com/users/5730279821-TA/events{/privacy}","received_events_url":"https://api.github.com/users/5730279821-TA/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-10-22T10:06:19Z","updated_at":"2018-10-25T09:11:25Z","closed_at":null,"author_association":"NONE","body":"I want to train Mask R-CNN with my dataset that have 4 classes. \r\nClass A -> 3,000\r\nClass B -> 26\r\nClass C -> 8\r\nClass D -> 4\r\n\r\nModel always predict Class A because my data was imbalance\r\nHow can i fix this problem ?."},"comment":{"url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/comments/432975089","html_url":"https://github.com/matterport/Mask_RCNN/issues/1051#issuecomment-432975089","issue_url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/1051","id":432975089,"node_id":"MDEyOklzc3VlQ29tbWVudDQzMjk3NTA4OQ==","user":{"login":"fastlater","id":30107093,"node_id":"MDQ6VXNlcjMwMTA3MDkz","avatar_url":"https://avatars3.githubusercontent.com/u/30107093?v=4","gravatar_id":"","url":"https://api.github.com/users/fastlater","html_url":"https://github.com/fastlater","followers_url":"https://api.github.com/users/fastlater/followers","following_url":"https://api.github.com/users/fastlater/following{/other_user}","gists_url":"https://api.github.com/users/fastlater/gists{/gist_id}","starred_url":"https://api.github.com/users/fastlater/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/fastlater/subscriptions","organizations_url":"https://api.github.com/users/fastlater/orgs","repos_url":"https://api.github.com/users/fastlater/repos","events_url":"https://api.github.com/users/fastlater/events{/privacy}","received_events_url":"https://api.github.com/users/fastlater/received_events","type":"User","site_admin":false},"created_at":"2018-10-25T09:11:25Z","updated_at":"2018-10-25T09:11:25Z","author_association":"NONE","body":"The difference is huge. Maybe using augmentation can give you more samples but as @lovedanang suggested, find more data for those classes. Also, you can try something different than deep learning if you dataset is that small."}}
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