diffgram
bbox-visualizer
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| diffgram | bbox-visualizer | |
|---|---|---|
| 9 | 2 | |
| 1,795 | 372 | |
| 1.0% | - | |
| 9.1 | 4.8 | |
| 2 days ago | 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
diffgram
- Open source tool scrapes git commit email addresses to send spam to.
- Open Source Training Data – Diffgram
- Open Source Data Annotation - Diffgram
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[D] Labelbox threatens to sue small open-source startup Diffgram
As a few examples of how much depth we have considered, here's a detailed comparison with sagemaker. Part of an integration with scale. Part of code for labelbox integration, datasaur (scroll to trusted by for our logo) etc. To the best of my knowledge I am trying to track every firm that is in this direct space.
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[P] 😃🎉 Open source AI/ML data annotation platform for free [Product Hunt]
(Direct repo link https://github.com/diffgram/diffgram)
- Open Source AI Data Annotation 2.0 (Source Code)
- Open Source AI Data Annotation 2.0
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[P] Diffgram - Open Annotation Platform
We list some benefits here but if I had to pick one thing, it's that it's a complete system. You can be up and running in 2 minutes on docker. And scale to "big tech co" level on multiple k8s clusters.
- Show HN: Open Core Diffgram (GitHub)
bbox-visualizer
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Community mingling live event, autonomous driving lecture, job opening, meet the member and more (Announcements 04.03.2021)
Meet the member - Shoumik Sharar Chowdhury. Shoumik and I had several talks the past months, he build the git project bbox-visualizer - This lets researchers draw bounding boxes and then labeling them easily with a stand-alone package. (The blog post)
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Meet the member - Shoumik Sharar Chowdhury
Another project I've worked on is the bbox-visualizer. This lets researchers draw bounding boxes and then labeling them easily with a stand-alone package. The code is very accessible and so I would encourage any open-source enthusiasts to contribute to the project. This would also be a good place to start for beginners who are just starting out with computer vision/open-source.
What are some alternatives?
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
awesome-data-labeling - A curated list of awesome data labeling tools
nuscenes-devkit - The devkit of the nuScenes dataset.
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
second.pytorch - PointPillars for KITTI object detection
dataqa - Labelling platform for text using weak supervision.
Unsupervised-Attention-guided-Image-to-Image-Translation - Unsupervised Attention-Guided Image to Image Translation
hover - :speedboat: Label data at scale. Fun and precision included.
globox - A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
auto_annotate - Labeling is boring. Use this tool to speed up your next object detection project!
graph-cut-ransac - The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf