image-sorter2
labelImg
image-sorter2 | labelImg | |
---|---|---|
1 | 117 | |
84 | 21,502 | |
- | - | |
0.0 | 0.0 | |
7 months ago | 2 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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image-sorter2
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How are custom (bounding box) object datasets collected in research/practice? Thinking about making an iOS app to help if this is tedious.
I first altered the image-sorter2 code to do multi-classes and save to CSV file instead of moving files to directories. I then implemented the YOLOv5 algorithm in the image viewing, so that it would predict where the people were in the image. I could then label where the people were by box number and label their activity. It ends up being pretty quick to label images this way.
labelImg
What are some alternatives?
labelCloud - A lightweight tool for labeling 3D bounding boxes in point clouds.
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
awesome-data-labeling - A curated list of awesome data labeling tools
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
videojs-annotation-comments - A plugin for video.js to add support for timeline moment/range comments and annotations
tensorboard - TensorFlow's Visualization Toolkit
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥
labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK
Pythonista - Collection of Python Scripts written for Pythonista iOS App
darknet - Convolutional Neural Networks