{"id":49542876,"url":"https://github.com/0ssamaak0/dlta-ai","last_synced_at":"2026-05-02T16:03:38.153Z","repository":{"id":116167659,"uuid":"562639661","full_name":"0ssamaak0/DLTA-AI","owner":"0ssamaak0","description":"Data Labeling, Tracking and Annotation with 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200\u003e\n\u003cbr\u003e\n\n\u003c/h1\u003e\n\n\u003ch3\u003e\nData Labeling, Tracking and Annotation with AI\n\u003c/h3\u003e\n\nDLTA-AI is the next generation of annotation tools, integrating the power of Computer Vision SOTA models to \u003ca href = \"https://github.com/wkentaro/labelme\"\u003eLabelme\u003c/a\u003e in a seamless expirence and intuitive workflow to make creating image datasets easier than ever before\n\n\n[![User Guide](https://img.shields.io/badge/User%20Guide-blue)](https://0ssamaak0.github.io/DLTA-AI/)\n[![Youtube Channel](https://img.shields.io/youtube/channel/views/UCJi8OFF-fzwGSAC8BWJ0BhQ)](https://www.youtube.com/@DLTA-AI)\n[![Discord Server](https://img.shields.io/discord/1130938906616004638)](https://discord.gg/9Rmwcnc4)\n[![PyPI - Downloads](https://img.shields.io/pypi/dm/DLTA-AI)](https://pypi.org/project/DLTA-AI/)\n[![GitHub release (latest by date including pre-releases)](https://img.shields.io/github/v/release/0ssamaak0/DLTA-AI?include_prereleases)](https://github.com/0ssamaak0/DLTA-AI/releases)\n[![GitHub issues](https://img.shields.io/github/issues/0ssamaak0/DLTA-AI)](https://github.com/0ssamaak0/DLTA-AI/issues)\n[![GitHub last commit](https://img.shields.io/github/last-commit/0ssamaak0/DLTA-AI)](https://github.com/0ssamaak0/DLTA-AI/commits)\n[![GitHub License](https://img.shields.io/github/license/0ssamaak0/DLTA-AI)](https://github.com/0ssamaak0/DLTA-AI/blob/master/LICENSE)\n\n![gif_main](https://github.com/0ssamaak0/DLTA-AI/blob/master/assets/gif_main.gif?raw=true)\n\n\u003c!-- make p with larger font size --\u003e\n[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-) 📜\n\n\u003c/div\u003e\n\n\n\n# Installation 🛠️\nAfter creating a new environment, installing Pytorch to it, you can install DLTA-AI using pip\n```\npip install DLTA-AI\n```\nand run it using\n```\nDLTA-AI\n```\nCheck 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.\n# Segment Anything 🪄\nDLTA-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\n\n**SAM** can be used also to improve the quality of Segmentation, even inaccurate polygons around the object is enough to be segmented correctly\n\n**SAM** doesn't only work for Segmentation tasks, it's build in the video mode to support **Object Tracking** as well for any class\n\n\u003cdiv align = \"center\"\u003e\n\n![Segment Anything](https://github.com/0ssamaak0/DLTA-AI/blob/master/assets/SAM.gif?raw=true)\n\u003c/div\u003e\n\n# Model Selection 🤖\nFor 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)\n\nthe to give the user the ability to compare, download and select from the library of models\n\u003cdiv align = \"center\"\u003e\n\n![Model Explorer](https://github.com/0ssamaak0/DLTA-AI/blob/master/assets/model_explorer.png?raw=true)\n\u003c/div\u003e\n\n# Segmentation 🎨\nUsing 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.\n\n\u003cdiv align = \"center\"\u003e\n\n![Segmentation](https://github.com/0ssamaak0/DLTA-AI/blob/master/assets/segmentation.png?raw=true)\n\u003c/div\u003e\nand as mentioned before, **SAM** is fully integrated in DLTA-AI to provide zero-shot segmentation for any class, and to improve the quality of segmentation\n\n# Object Tracking 🚗\nBuilt on top of the segmentation and detection models, DLTA-AI provides a complete solution for Object Tracking, with 5 different models for tracking\n\nTo import DLTA-AI have options for video navigation, tracking settings and different visualization options with the ability to export the tracking results to a video file\n\nBeside this, DLTA-AI provides a completely new way to modify the tracking results, including edit and delete propagation across frames\n\n\u003cdiv align = \"center\"\u003e\n\n![Object Tracking](https://github.com/0ssamaak0/DLTA-AI/blob/master/assets/tracking.gif?raw=true)\n\n\u003c/div\u003e\n\nBeside automatic tracking models, DLTA-AI provides different methods of interpolation and filling gaps between frames to fix occlusions and unpredicted behaviors in a semi-automatic way\n\n\u003cdiv align = \"center\"\u003e\n\n![Interpolation](https://github.com/0ssamaak0/DLTA-AI/blob/master/assets/interpolation.png?raw=true)\n\u003c/div\u003e\n\n# Export 📤\nFor Instance Segmentation, DLTA-AI provides to option to export the segmentation to standard COCO format, and the results of tracking to MOT format, and a video file for the tracking results with desired visualization options e.g., show id, bbox, class name, etc.\n\n\u003cdiv align = \"center\"\u003e\n\n![Export](https://github.com/0ssamaak0/DLTA-AI/blob/master/assets/Export.png?raw=true)\n\n\u003c/div\u003e\n\nDLTA-AI provides also the ability to add user-defined or custom export formats that can be used for any purpose, once the user defines his own format, it will be available in the export menu.\n\n# Other Features 🌟\n\n- Threshold Selection (Confidence and IoU)\n- Select Classes (from 80 COCO classes) with option to save default classes\n- Track assigned objects only\n- Merging models (Run both models and merge the results)\n- Show Runtime Type (CPU/GPU)\n- Show GPU Memory Usage\n- Video Navigation (Frame by Frame, Fast Forward, Fast Backward, Play/Pause)\n- Light / Dark Theme Support (syncs with OS theme)\n- Fully Customizable UI (drag and drop, show/hide)\n- OS Notifications (for long running tasks)\n- using orjson for faster json serialization\n- additional script (external) to evaluate the results of segmentation (COCO)\n- additional script (external) to extract frames from a video file for future use\n- User shortcuts and preferences settings\n\n# Contributing 🤝\nDLTA-AI is an open source project and contributions are very welcome, specially in this early stage of development.\n\nYou can contribute in many ways:\n- Create an [issue](https://github.com/0ssamaak0/DLTA-AI/issues) Reporting bugs 🐞 or suggesting new features 🌟 or just give your feedback 📝\n\n- Create a [pull request](https://github.com/0ssamaak0/DLTA-AI/pulls) to fix bugs or add new features, or just to improve the code quality, optimize performance, documentation, or even just to fix typos\n\n- Review [pull requests](https://github.com/0ssamaak0/DLTA-AI/pulls) and help with the code review process\n\n- Spread the word about DLTA-AI and help us grow the community 🌎, by sharing the project on social media, or just by telling your friends about it\n\n# Acknowledgements 🙏\nThis tool is part of a Graduation Project at [Faculty of Engineering, Ain Shams University](https://eng.asu.edu.eg/) under the supervision of:\n\n- [Dr. Karim Ismail](https://carleton.ca/cee/profile/karim-ismail/)\n- [Dr. Ahmed Osama](ahmed.osama@eng.asu.edu.eg)\n- Dr. Watheq El-Kharashy\n- [Eng. Yousra El-Qattan](https://www.linkedin.com/in/youssra-elqattan/)\n\nwe want also to thank our friends who helped us with testing, feedback and suggestions:\n\n- [Eng. Houssam Siyoufi](https://www.linkedin.com/in/houssam-siyoufi-163627110/)\n- [Amin Mohamed](https://github.com/AminMohamed-3)\n- [Badr Mohamed](https://github.com/Badr-1)\n- [Ahmed Mahmoud](https://github.com/ahmedd-mahmoudd)\n- [Youssef Ashraf](https://github.com/0xNine9)\n- [Chadi Ashraf](https://github.com/Chady00)\n\n\n# Resources 🌐\n- [Labelme](https://github.com/wkentaro/labelme)\n- [Segment Anything (SAM)](https://github.com/facebookresearch/segment-anything)\n- [MMDetection](https://github.com/open-mmlab/mmdetection/tree/2.x)\n- [ultralytics YOLOv8](https://github.com/ultralytics/ultralytics)\n- [mikelbrostrom yolov8_tracking](https://github.com/mikel-brostrom/yolov8_tracking)\n- [orjson](https://github.com/ijl/orjson)\n- [icons8](https://icons8.com/)\n\n# License 📜\nDLTA-AI is released under the [GPLv3 license](https://github.com/0ssamaak0/DLTA-AI/blob/master/LICENSE). \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0ssamaak0%2Fdlta-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F0ssamaak0%2Fdlta-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0ssamaak0%2Fdlta-ai/lists"}