| Model Type | Audio Event Detection |
|---|---|
| Framework | LiteRT (TensorFlow Lite), ONNX |
| Algorithm | YAMNet |
| Technical Details | This application provides a ready-to-use training pipeline to customize the YAMNet audio classification model. Developers can supply their own dataset and retrain the final classifier layer using transfer learning. The process exports models, includes performance reports and metadata files. Designed for compatibility with the existing `audio-classification` inference App. |
YAMNet – Training Experience
A training pipeline for customizing YAMNet to recognize new environmental or industrial sounds.
Leave your message here
Fill the form with the required information
$0.00
YAMNet – Training Experience
app details
Resources
Use Cases
Security
YAMNet for Environmental Sound Classification
Real-time environmental sound classifier optimized for low-power edge devices using MobileNet v1.
View Model
Machine Alert Assistance with Operator Recognition
HMI system that uses AI to recognize operators during alerts and show personalized troubleshooting instructions.
View Model|
|