| # AutoAnotationModel |
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| This repository contains the custom model checkpoint `Model.pth` and a powerful annotation pipeline developed by **Rajkumar G** for real-time object auto-annotation and YOLO dataset generation. |
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| ## 🔧 What This Is |
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| `AutoAnotationModel` enables: |
| - ⚙️ Multi-class object detection using template-based region matching |
| - 🧠 Intelligent segmentation refinement using custom logic |
| - 🖼️ Live visual preview of annotations through a Flask web application |
| - 📤 YOLO-format `.txt` export for training detection models |
| - 📦 Exportable annotation packages including image + labels |
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| The model and its web interface are used in applications like: |
| - Bin/Cover detection |
| - Mechanical part annotation |
| - Industrial dataset creation |
| - Real-time inspection and labeling |
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| --- |
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| ## 🧠 Model Information |
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| - **Model Name:** `Model.pth` |
| - **Hosted on:** [Hugging Face - Rajkumar57/AutoAnotationModel](https://huggingface.co/Rajkumar57/AutoAnotationModel) |
| - **Created by:** Rajkumar G |
| - **Frameworks Used:** Python, PyTorch, OpenCV, Flask |
| - **Use Case:** Real-time annotation & YOLO label generation |
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| ## 🚀 How to Use the Model |
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| ```python |
| from huggingface_hub import hf_hub_download |
| from segment_anything import sam_model_registry, SamPredictor |
| import torch |
| |
| # Download model from Hugging Face Hub |
| model_path = hf_hub_download(repo_id="Rajkumar57/AutoAnotationModel", filename="Model.pth") |
| |
| # Load model |
| model = sam_model_registry["vit_h"](checkpoint=model_path) |
| model = model.to("cuda" if torch.cuda.is_available() else "cpu") |
| predictor = SamPredictor(model) |
| ``` |
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| --- |
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| ## 🌟 Key Features of My Annotation System |
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| - ✅ Web interface for user-defined class names and class IDs |
| - 📁 Upload template images for each class |
| - 🔍 Automatic region detection and segmentation |
| - 📤 YOLO-format `.txt` annotation generation |
| - 📸 Annotated image previews |
| - 📦 One-click export as `.zip` |
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| --- |
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| ## 📁 Files Included |
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| | File | Description | |
| |-------------|----------------------------------------------| |
| | `Model.pth` | Custom-trained model for annotation tasks | |
| | `README.md` | Documentation for usage | |
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| --- |
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| ## 👨💻 Author |
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| **Rajkumar G** |
| 📧 g.p.rajkumar5@gmail.com |
| 🔗 [LinkedIn](https://linkedin.com/in/rajkumar) | [GitHub](https://github.com/rajkumar) |
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| ## 📜 License |
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| This model and pipeline were fully created by **Rajkumar G** and are released strictly for **academic and research purposes only**. |
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| For commercial use, integration support, or contributions, feel free to reach out directly. |
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| *Proudly developed and maintained by Rajkumar G. If you use this project, kindly give credit or cite this repository.* |
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