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docs: add all supported models to README
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README.md

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**Features:**
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- [x] Image annotation for polygon, rectangle, circle, line and point.
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- [x] Auto-labeling YOLOv8, Segment Anything (SAM, SAM2).
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- [x] Auto-labeling with **YOLOv8** (object detection).
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- [x] Auto-labeling with **Segment Anything** family:
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- **SAM** (ViT-B / ViT-L / ViT-H) and **MobileSAM**
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- **SAM 2** and **SAM 2.1** (Hiera-Tiny / Small / Base+ / Large)
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- **SAM 3** (ViT-H) — open-vocabulary segmentation with text prompts
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- [x] Text detection, recognition and KIE (Key Information Extraction) labeling.
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- [x] Multiple languages availables: English, Vietnamese, Chinese.
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### Supported Models
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| Model | Prompt Types | Notes |
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|-------|-------------|-------|
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| SAM ViT-B / ViT-L / ViT-H | Point, Rectangle | Original Segment Anything |
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| MobileSAM | Point, Rectangle | Lightweight SAM |
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| SAM 2 Hiera-Tiny / Small / Base+ / Large | Point, Rectangle | Meta SAM 2 |
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| SAM 2.1 Hiera-Tiny / Small / Base+ / Large | Point, Rectangle | Improved SAM 2 |
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| SAM 3 ViT-H | **Text**, Point, Rectangle | Open-vocabulary; text drives detection |
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| YOLOv8n / s / m / l / x || Object detection & auto-labeling |
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All models are downloaded automatically on first use from Hugging Face.
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## Install and Run
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### 1. Download and run executable
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## References
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- Labeling UI built with ideas and components from [LabelImg](https://github.com/heartexlabs/labelImg), [LabelMe](https://github.com/wkentaro/labelme).
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- Auto-labeling with [Segment Anything Models](https://segment-anything.com/), [MobileSAM](https://github.com/ChaoningZhang/MobileSAM).
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- Auto-labeling with [Segment Anything](https://segment-anything.com/) (SAM, SAM 2, SAM 2.1, SAM 3), [MobileSAM](https://github.com/ChaoningZhang/MobileSAM).
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- Auto-labeling with [YOLOv8](https://github.com/ultralytics/ultralytics).
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- Icons from FlatIcon: [DinosoftLabs](https://www.flaticon.com/free-icons/sun "sun icons"), [Freepik](https://www.flaticon.com/free-icons/moon "moon icons"), [Vectoricons](https://www.flaticon.com/free-icons/system "system icons"), [HideMaru](https://www.flaticon.com/free-icons/ungroup "ungroup icons").

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