CSAILVision / CSAILVision/LabelMeAnnotationTool
Suggestion : M-turk like feature but in a Local server
- 主要言語
- JavaScript
- スター
- 1.5k
- フォーク
- 443
- PR マージ指標
- 30日以内にマージされた PR はありません
説明
Hey guys, thanks for the awesome annotation tool.
1) Is there a way to use Label-Me similar to M-turk mode but used within the organisation via LAN?. I mean asking the human workers in the organisation to label the images using Label-Me which is running on a local server?
2) One idea to make the above possible is to host label me on a local server and ask the workers to sign in with different usernames and label
3) The main problem is in determining the accuracy of the labelling by different workers . Is it possible to do something like [this ](https://blog.mturk.com/tutorial-measuring-the-accuracy-of-bounding-box-image-annotations-from-mturk-ad3dfcdf8aa0) using label me?
or any other suggestions on determining the accuracy of labelling?
Thanks in advance.
コントリビューションガイド
このリポジトリのコントリビューションガイドは索引されていません
調査の方向性
The issue names no files, tests, or entry points. Start by reviewing the LabelMe project structure and how it is hosted, then determine whether the proposed LAN workflow, separate usernames, and annotation-accuracy measurement have defined entry points. Done requires an agreed scope and design for the local multi-user feature and its accuracy metric.
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- javascript
- 領域
- backend, computer-vision
- issue の種類
- 機能追加
- 難易度
- 5/5
- 見積もり時間
- 1週間以上
- 活発さ
- 停滞
- 明瞭さ
- 説明が足りない
- 初心者へのやさしさ
- 20/100