Record audio from your detector coil, label it, and train a model that learns your specific detector's signals for coins, trash, and ambient noise.
Run real-time audio classification through a CNN model as you swing the coil. TARGET, JUNK, and AMBIENT classifications update live.
Capture labelled audio samples with depth, soil type, detector settings, and GPS. Recordings are stored locally in IndexedDB.
Bundle your dataset as a ZIP (CSV metadata + WAV files) and use the included training script to fine-tune the ONNX model on your own finds.
Native app with NPU acceleration. Download APK
Compose Multiplatform app for macOS, Windows, and Linux. Build from source.
Open /app/ in Safari, then tap Share → Add to Home Screen to install as a standalone app.
The full app runs in any modern browser — no install required. Microphone access needed for live detection.