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説明

An image annotation tool to label images for bounding box object detection and segmentation.

Key features:
Drawing bounding box, polygon, cubic bezier, line, and point
Label the whole image without drawing boxes
Label pixels with superpixel and brush tools
Export index color mask image and separated mask images
Export to the YOLO, KITTI, COCO JSON, and CSV format
Read and write in the PASCAL VOC XML format
Auto-suggest speeds up selecting the object name
Customize the label dialog to combine with attributes
1-click buttons make your labeling work faster
Settings for objects, attributes, hotkeys, and labeling fast
Search images by label text
Convert video to image frames
Layer order for overlapped boxes
Quick zoom to existing boxes

We provide the python code to connect to the Mask R-CNN in Tensorflow.
https://rectlabel.com/help#tf_record

The details are described on our support page.
https://rectlabel.com/help

License policy:
You can use RectLabel to develop the commercial object detection system.

Privacy policy:
We Collect No Personal Information Using Our Applications.

Found some problems?
Post the problem to our Github issues page
https://github.com/ryouchinsa/Rectlabel-support/issues

Have questions?
Send an email to support@rectlabel.com

Thank you.

新機能

バージョン 2.50

- Added "Convert image size and format to jpg".
- Improved that pixels dialog changes its key window according to the mouse move and mouse down.

情報

販売元
Ryo Kawamura
サイズ
15.4MB
カテゴリ
開発ツール
互換性
OS X 10.10 以降、64ビットプロセッサ
言語
英語
年齢
4+ 対象年齢
Copyright
© 2017-2019 RectLabel
価格
無料

サポート

  • ファミリー共有

    ファミリー共有を有効にすると、最大6人のファミリーメンバーがこのAppを使用できます。