| title | CircuitSketchRecognition |
|---|---|
| emoji | 👁 |
| colorFrom | blue |
| colorTo | blue |
| sdk | streamlit |
| sdk_version | 1.33.0 |
| app_file | 🤗_Hello.py |
| pinned | false |
| license | mit |
The Circuit Sketch Recognition app demonstrates the power of AI to recognize hand-drawn circuit diagrams. By leveraging advanced models like TrOCR for text recognition and YOLOv8 for component detection, this app showcases how easily computers can understand sketches (Fine tuned on a CGHD-2304 dataset).
- Upload or Capture: Upload a picture of your circuit sketch or use your camera to capture one in real-time.
- Dual Display: View both capture and upload options in a side-by-side format for easy access.
- Example Gallery: Explore a gallery of recognized sketches to see the accuracy and capabilities of our AI models.
Deployed on Streamlit and Hugging Face Spaces:
To get started with the Circuit Sketch Recognition app, simply clone the repository and run the 🤗_Hello.py file with Streamlit:
git clone https://github.com/edesaras/CircuitSketchRecognition.git
streamlit run 🤗_Hello.py
