List of manual image annotation tools

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Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. This is a list of computer software which can be used for manual annotation of images.

Software Description Platform License References
Labelbox Labelbox is a data labeling platform for enterprises to easily train expert machine learning applications.[1] It can be used with on-premise data or hosted data. It is agnostic to data type and has an open source labeling frontend[2] with already built interfaces for image classification and segmentation, text, audio and video annotation. Labelbox supports custom built labeling interfaces using a javascript API (labeling-api.js). Additional features include exporting data in JSON/CSV/WKT/COCO/Pascal VOC with auto-generated image masks, project and team management and labeling analytics. Javascript, HTML, CSS, Python Cloud or On-premise, some interfaces are Apache-2.0 [1]
LabelMe Online annotation tool to build image databases for computer vision research. Perl, Javascript, HTML, CSS[3] MIT License [4]
RectLabel An image annotation tool to label images for bounding box object detection and segmentation.[5] macOS Custom License [4][6]

References[edit]

  1. ^ a b "A pickaxe for the AI gold rush, Labelbox sells training data software". TechCrunch. Retrieved 2018-07-31.
  2. ^ "Labelbox labeling interface source". Retrieved 10 March 2018.
  3. ^ "LabelMe Source". Retrieved 26 January 2017.
  4. ^ a b "Reducing the Pain: A Novel Tool for Efficient Ground-Truth Labelling in Images" (PDF). Auckland University of Technology. Retrieved 2018-10-13.
  5. ^ "RectLabel support page". Retrieved 29 March 2017.
  6. ^ "Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images". The University of Tokyo Hospital. Retrieved 2018-07-04.