auto_annotate
diffgram
| auto_annotate | diffgram | |
|---|---|---|
| 2 | 9 | |
| 148 | 1,800 | |
| - | 0.9% | |
| 5.6 | 8.8 | |
| 3 months ago | 6 days ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
auto_annotate
- Labeling is boring. Use this tool to speed up your next object detection project!
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Auto Annotation Tool for TensorFlow Object Detection
Are you tired to label your images by hand to work with object detection? Have hundreds or thousands of images to label? Then this project will make your life easier, just create some annotations and let the machine do the rest for you!
https://github.com/AlvaroCavalcante/auto_annotate
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)
What are some alternatives?
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
synthetic-dataset-object-detection - How to Create Synthetic Dataset for Computer Vision (Object Detection) (Article on Medium)
awesome-data-labeling - A curated list of awesome data labeling tools
vision-camera-realtime-object-detection - VisionCamera Frame Processor Plugin to detect objects using TensorFlow Lite Task Vision
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
tapen - Print labels on Brother PTouch label printers with highly customizable HTML templates
dataqa - Labelling platform for text using weak supervision.
hover - :speedboat: Label data at scale. Fun and precision included.
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
active_learning - Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
bbox-visualizer - Make drawing and labeling bounding boxes easy as cake