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+# Glove Labelling Model (SAM 2.1 Fine-Tuned)
+
+This model is a fine-tuned [Segment Anything Model (SAM 2.1)](https://github.com/facebookresearch/segment-anything) designed specifically for **baseball glove segmentation**. It identifies fine-grained regions on a pitcher’s glove from video frames, with the goal of analyzing glove position, shape, and movement across pitches.
+
+---
+
+## 🔍 Model Details
+
+- **Architecture**: SAM 2.1 Hiera-L variant
+- **Framework**: PyTorch
+- **Training Type**: Image-only fine-tuning on custom glove segmentation data
+- **Losses**: Dice, IoU, and mask loss
+- **Epochs**: 50
+- **Batch Size**: 2
+- **Dataset**: Custom COCO-format sequences of glove mask annotations split by pitch
+
+---
+
+## 🏷️ Labels (Classes)
+
+This model supports six segmentation classes:
+- `glove_outline`
+- `webbing`
+- `thumb`
+- `palm_pocket`
+- `hand`
+- `glove_exterior`
+
+---
+
+## 📁 Files in This Repo
+
+| File                  | Description                              |
+|-----------------------|------------------------------------------|
+| `pytorch_model.bin`   | Trained PyTorch weights (`.pt` file)     |
+| `config.json`         | Model and dataset configuration          |
+| `README.md`           | You're reading it                        |
+
+---
+
+## 🚀 Deployment Options
+
+You can deploy this model using:
+- **Google Cloud Vertex AI** (via Model Garden)
+- **TorchServe**
+- **CVAT** (via a custom segmentation model)
+- **Hugging Face Inference Endpoints** (manual handler required)
+
+---
+
+## 🔗 Author
+
+Created and maintained by [`caball21`](https://huggingface.co/caball21)  
+Please cite if used in academic or production applications.