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l3p-cv avatar

l3p-cv/lost

0
View on GitHub↗
577 stars·80 forks·Python·MIT·10 viewslost.training↗

Lost

Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.

Features

  • Image Annotation - Web-based environment for designing custom annotation processes.
  • Image Annotation Tools - Flexible web-based framework for semi-automatic image annotation.

Star history

Star history chart for l3p-cv/lostStar history chart for l3p-cv/lost

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Lost

These projects share indexed features with Lost. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • bit-bots/imagetaggerbit-bots avatar

    bit-bots/imagetagger

    277View on GitHub↗

    An open source online platform for collaborative image labeling

    HTML
    View on GitHub↗277
  • catmaid/catmaidcatmaid avatar

    catmaid/CATMAID

    200View on GitHub↗

    Collaborative Annotation Toolkit for Massive Amounts of Image Data

    JavaScript
    View on GitHub↗200
  • alturosdestinations/alturos.imageannotationAlturosDestinations avatar

    AlturosDestinations/Alturos.ImageAnnotation

    70View on GitHub↗

    A collaborative tool for labeling image data for yolo

    C#
    View on GitHub↗70
  • jsbroks/coco-annotatorjsbroks avatar

    jsbroks/coco-annotator

    2,276View on GitHub↗

    :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

    Vue
    View on GitHub↗2,276
Compare all 30 related projects→

Frequently asked questions

What does l3p-cv/lost do?

Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.

What are the main features of l3p-cv/lost?

The main features of l3p-cv/lost are: Image Annotation, Image Annotation Tools.

Which projects share features with l3p-cv/lost?

Projects with overlapping indexed features include: jsbroks/coco-annotator — :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints. jveitchmichaelis/deeplabel — A cross-platform desktop image annotation tool for machine learning. alturosdestinations/alturos.imageannotation — A collaborative tool for labeling image data for yolo. catmaid/catmaid — Collaborative Annotation Toolkit for Massive Amounts of Image Data. bit-bots/imagetagger — An open source online platform for collaborative image labeling. kinhong/openlabeler — OpenLabeler is an open source desktop application for annotating objects for AI appplications.