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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Data Labeling, Tracking and Annotation with AI
| Date | Stars |
|---|---|
| 2026-07-24 | 358 |
| 2026-07-25 | 358 |
| 2026-07-28 | 358 |
| 2026-07-30 | 358 |
| 2026-08-06 | 358 |
Today
— stars today
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0.0
growth rate 0.00%/day
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<img src = "https://github.com/0ssamaak0/DLTA-AI/blob/master/assets/icon.png?raw=true" width = 200 height = 200>
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Data Labeling, Tracking and Annotation with AI
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DLTA-AI is the next generation of annotation tools, integrating the power of Computer Vision SOTA models to <a href = "https://github.com/wkentaro/labelme">Labelme</a> in a seamless expirence and intuitive workflow to make creating image datasets easier than ever before
[](https://0ssamaak0.github.io/DLTA-AI/)
[](https://www.youtube.com/@DLTA-AI)
[](https://discord.gg/9Rmwcnc4)
[](https://pypi.org/project/DLTA-AI/)
[](https://github.com/0ssamaak0/DLTA-AI/releases)
[](https://github.com/0ssamaak0/DLTA-AI/issues)
[](https://github.com/0ssamaak0/DLTA-AI/commits)
[](https://github.com/0ssamaak0/DLTA-AI/blob/master/LICENSE)
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[Installation](#installation-%EF%B8%8F) 🛠️ | [Segment Anything](#Segment-Anything-) 🪄 | [Model Selection](#model-selection-) 🤖 | [Segmentation](#segmentation-) 🎨 | [Object Tracking](#object-tracking-) 🚗 | [Export](#export-) 📤 | [Other Features](#other-features-) 🌟| [Contributing](#contributing-) 🤝| [Acknowledgements](#acknowledgements-)🙏| [Resources](#resources-) 🌐 | [License](#license-) 📜
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# Installation 🛠️
After creating a new environment, installing Pytorch to it, you can install DLTA-AI using pip
```
pip install DLTA-AI
```
and run it using
```
DLTA-AI
```
Check the [Installation section in User Guide](https://0ssamaak0.github.io/DLTA-AI/installation/full-installation/) for more details, different installation options and solutions for common issues.
# Segment Anything 🪄
DLTA-AI takes the Annotation to the next level by integrating lastest Meta models [Segment Anything (SAM)](https://github.com/facebookresearch/segment-anything) to support zero-shot segmentation for any class
**SAM** can be used also to improve the quality of Segmentation, even inaccurate polygons around the object is enough to be segmented correctly
**SAM** doesn't only work for Segmentation tasks, it's build in the video mode to support **Object Tracking** as well for any class
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# Model Selection 🤖
For model selection, DLTA-AI provides the **Model Explorer** to utilize the power of the numerous models in [mmdetection](https://github.com/open-mmlab/mmdetection/tree/2.x) and [ultralytics YOLOv8](https://github.com/ultralytics/ultralytics) as well as the models of [SAM](https://github.com/facebookresearch/segment-anything)
the to give the user the ability to compare, download and select from the library of models
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# Segmentation 🎨
Using the models from the **Model Explorer**, DLTA-AI provides a seamless expirence to annotate single image or batch of images, with options to select classes, modify threshold, and full control to edit the segmentation results.
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and as mentionedExcerpt of 8,555 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:58f3d39ebb0a8525, topic:computer-vision, readme:computer vision, readme:object tracking
matched fp:58f3d39ebb0a8525, topic:pytorch