Real-world car dashboard warning light detection (mobile + web)
#1
by asahiner - opened
Hi everyone 👋
I’m sharing a real-world car dashboard warning light detection model that I trained and deployed in both mobile (ONNX) and web (PyTorch) environments.
The model analyzes dashboard photos and returns:
- Detected warning lights
- Confidence scores
- Possible causes
- Recommended checks
It’s already integrated into a mobile app UI and tested on real vehicle images.
I’d love feedback on:
- Model generalization
- Additional warning classes
- Optimization ideas for edge devices
Happy to collaborate 🚗⚙️
