Update README.md

README.md

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+---
+title: Ice Cream Counter
+emoji: 🍦
+colorFrom: blue
+colorTo: red
+sdk: docker
+pinned: false
+---
+
+# Ice Cream Counter
+
+RT-DETR-based ice cream detection and counting API.
+
+## Features
+
+- Upload training freezer photos once
+- Save the dataset
+- Annotate individual ice creams
+- Train an RT-DETR model
+- Save the trained model
+- Upload new images one by one
+- Detect and count every ice cream by type
+- No YOLO
+
+## Main workflow
+
+1. Define your ice cream classes.
+2. Upload training images.
+3. Annotate each ice cream with a bounding box and product type.
+4. Train the RT-DETR model.
+5. The trained model is saved.
+6. Upload a new freezer image.
+7. Get the total count and count for every product type.
+
+## API
+
+- `GET /health`
+- `POST /dataset/images`
+- `GET /dataset`
+- `POST /dataset/annotations`
+- `POST /train`
+- `GET /training/status`
+- `GET /model`
+- `POST /count`
+
+## Local development
+
+```bash
+pip install -r requirements.txt
+uvicorn app.main:app --host 0.0.0.0 --port 7860
+
+
+
 # Ice Cream Freezer Counter — RT-DETR + Hugging Face
 
 A complete object-detection project for counting individual ice creams in freezer photos and identifying each product type.