Shorter container name

README.md

@@ -1,5 +1,5 @@
 ---
-title: "KYB YOLO-E European Document Detection"
+title: "KYB YOLO-E"
 emoji: "🔍"
 colorFrom: "blue"
 colorTo: "purple"
@@ -19,18 +19,21 @@ This Hugging Face Space provides a production-ready API for detecting and classi
 ## ✨ Features
 
 ### 🎯 European Document Detection
+
 - **Document Types**: Identity cards, passports, driver's licenses, residence permits
 - **Front/Back Classification**: ML-based orientation detection using multiple methods
 - **Precise Coordinates**: Accurate bounding box coordinates for all detections
 - **Quality Assessment**: Comprehensive quality metrics (sharpness, glare, coverage, brightness, contrast)
 
 ### 🎥 Video Processing
+
 - **Frame Extraction**: Intelligent frame sampling at configurable FPS
 - **Quality-Based Selection**: Automatic selection of best quality frames
 - **Multi-Frame Analysis**: Track documents across video frames
 - **Performance Optimized**: Efficient processing for real-time applications
 
 ### 🔧 Technical Capabilities
+
 - **YOLO-E Integration**: Latest Ultralytics YOLO-E for object detection
 - **ML-Based Classification**: Advanced orientation detection using multiple algorithms
 - **European Focus**: Optimized for European document standards and formats
@@ -39,6 +42,7 @@ This Hugging Face Space provides a production-ready API for detecting and classi
 ## 🚀 Quick Start
 
 ### Image Detection
+
 ```bash
 curl -X POST "https://your-hf-space-url/v1/id/detect" \
   -F "file=@document.jpg" \
@@ -47,6 +51,7 @@ curl -X POST "https://your-hf-space-url/v1/id/detect" \
 ```
 
 ### Video Detection
+
 ```bash
 curl -X POST "https://your-hf-space-url/v1/id/detect-video" \
   -F "file=@document_video.mp4" \
@@ -59,14 +64,17 @@ curl -X POST "https://your-hf-space-url/v1/id/detect-video" \
 ## 📊 API Endpoints
 
 ### POST `/v1/id/detect`
+
 Detect European identity documents in uploaded images.
 
 **Parameters:**
+
 - `file` (required): Image file (JPEG, PNG, etc.)
 - `min_confidence` (optional): Minimum confidence threshold (0.0-1.0, default: 0.25)
 - `return_crops` (optional): Return cropped document images (default: false)
 
 **Response:**
+
 ```json
 {
   "request_id": "uuid",
@@ -102,9 +110,11 @@ Detect European identity documents in uploaded images.
 ```
 
 ### POST `/v1/id/detect-video`
+
 Detect European identity documents in uploaded videos with quality-based frame selection.
 
 **Parameters:**
+
 - `file` (required): Video file (MP4, AVI, etc.)
 - `min_confidence` (optional): Minimum confidence threshold (0.0-1.0, default: 0.25)
 - `sample_fps` (optional): Video sampling rate (0.1-30.0, default: 2.0)
@@ -112,6 +122,7 @@ Detect European identity documents in uploaded videos with quality-based frame s
 - `max_detections` (optional): Maximum detections to return (1-100, default: 10)
 
 **Response:**
+
 ```json
 {
   "request_id": "uuid",
@@ -125,9 +136,11 @@ Detect European identity documents in uploaded videos with quality-based frame s
 ```
 
 ### GET `/health`
+
 Health check endpoint.
 
 **Response:**
+
 ```json
 {
   "status": "healthy",
@@ -174,6 +187,7 @@ Each detection includes comprehensive quality assessment:
 ## 🛠️ Configuration
 
 ### Class Mapping
+
 The system uses `config/labels.json` for class mapping:
 
 ```json
@@ -189,18 +203,21 @@ The system uses `config/labels.json` for class mapping:
 ```
 
 ### Model Weights
+
 - **YOLO-E**: `yolo11n.pt` (nano variant for faster inference)
 - **Orientation Classifier**: Integrated ML-based classification
 
 ## 🔧 Deployment
 
 ### Hugging Face Spaces
+
 1. Upload the code to a new Hugging Face Space
 2. Set the hardware to GPU for optimal performance
 3. Configure environment variables if needed
 4. Deploy and test the endpoints
 
 ### Local Development
+
 ```bash
 # Install dependencies
 pip install -r requirements.txt
@@ -212,6 +229,7 @@ python app.py
 ## 📝 Example Usage
 
 ### Python Client
+
 ```python
 import requests
 
@@ -231,6 +249,7 @@ for detection in result['detections']:
 ```
 
 ### JavaScript Client
+
 ```javascript
 const formData = new FormData();
 formData.append('file', fileInput.files[0]);