labelCloud
image-sorter2
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| labelCloud | image-sorter2 | |
|---|---|---|
| 1 | 1 | |
| 523 | 82 | |
| - | - | |
| 5.7 | 0.0 | |
| 4 months ago | 7 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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labelCloud
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labelCloud for 3D Object Detection and 6D Pose Estimation
labelCloud is publicly available, easy to install, and simple to use. Check out our github: https://github.com/ch-sa/labelCloud
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.
What are some alternatives?
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
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]
GDR-Net - GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
awesome-data-labeling - A curated list of awesome data labeling tools
labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK