metadata
title: reCAPTCHA Solver 3x3
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
license: mit
🤖 reCAPTCHA 3x3 Detection API
Solves 3x3 grid reCAPTCHA challenges using YOLO object detection.
🎯 Features
- ⚡ Fast inference (2-3s per request)
- 🎯 High accuracy with YOLO detection
- 🔄 Auto-lowering confidence for better detection
- 📊 Built-in metrics and monitoring
- 🌐 CORS enabled for browser extensions
📡 API Endpoints
POST /predict
Predict which tiles to click in a 3x3 grid.
Request:
{
"image": "data:image/png;base64,iVBOR...",
"challenge_title": "crosswalks"
}
Response:
{
"success": true,
"tiles_to_click": [2, 5, 8],
"num_detections": 12,
"confidence_used": 0.20,
"latency_s": 2.341
}
GET /health
Check API health and statistics.
Response:
{
"status": "healthy",
"model_loaded": true,
"requests_total": 42,
"requests_successful": 40,
"avg_latency_s": 2.5
}
🚀 Usage
From Browser Extension
const response = await fetch('https://YOUR-SPACE.hf.space/predict', {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
image: screenshotBase64,
challenge_title: 'crosswalks'
})
});
const result = await response.json();
console.log('Tiles to click:', result.tiles_to_click);
From Python
import requests
import base64
with open('screenshot.png', 'rb') as f:
image_b64 = base64.b64encode(f.read()).decode()
response = requests.post('https://YOUR-SPACE.hf.space/predict', json={
'image': f'data:image/png;base64,{image_b64}',
'challenge_title': 'crosswalks'
})
print(response.json())
🔧 Model Details
- Architecture: YOLOv8 Detection
- Input: 640x640 RGB image
- Output: Bounding boxes with confidence scores
- Classes: Multiple object types (vehicles, crosswalks, traffic lights, etc.)
📊 Performance
- Cold start: ~15 seconds (first request)
- Warm inference: 2-3 seconds per request
- Memory usage: ~1.5GB
- Concurrent requests: 2-3 simultaneous
🎯 Tile Mapping
The API maps detected objects to a 3x3 grid:
[0] [1] [2]
[3] [4] [5]
[6] [7] [8]
Objects are mapped based on their center point within the grid.
🛡️ Rate Limits
- Free tier: 100 requests per hour
- Timeout: 30 seconds per request
- Max image size: 10MB
📝 License
MIT License - See LICENSE file for details
🔗 Related
Note: This API is for educational and research purposes only. Use responsibly and respect website terms of service.