labelImg
image-sorter2
| labelImg | image-sorter2 | |
|---|---|---|
| 117 | 1 | |
| 21,502 | 84 | |
| - | - | |
| 0.0 | 0.0 | |
| 2 months ago | 7 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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labelImg
image-sorter2
-
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.
What are some alternatives?
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]
labelCloud - A lightweight tool for labeling 3D bounding boxes in point clouds.
coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
awesome-data-labeling - A curated list of awesome data labeling tools
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