tryolabs/taggerine
Annotation tool for images
This tool helps you efficiently label specific objects or regions within a collection of images. You input raw images and use a simple interface to draw boxes around items of interest, assigning them descriptive tags. The output is a structured dataset indicating what's in each image and where it's located, which is invaluable for anyone preparing image data for analysis or machine learning.
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Use this if you need to create a labeled dataset from a large set of images by marking and categorizing objects within them.
Not ideal if you need to annotate video, 3D point clouds, or perform complex segmentation beyond bounding boxes.
Stars
63
Forks
7
Language
JavaScript
License
BSD-3-Clause
Category
Last pushed
Jul 03, 2018
Commits (30d)
0
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