y-kawagu/dcase2021_task2_baseline_mobile_net_v2
MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.
This project helps industrial engineers and maintenance professionals detect anomalies in machine sounds. It takes in collections of audio recordings from operational machinery (like fans, pumps, or gearboxes) and outputs a list of anomaly scores for each sound file, indicating how unusual it is. You would use this to identify potential equipment malfunctions or wear before they lead to breakdowns.
No commits in the last 6 months.
Use this if you need a baseline system to detect unusual sounds from industrial machines, leveraging pre-trained models for common equipment types.
Not ideal if you need a system for real-time anomaly detection in a live production environment without further development or integration.
Stars
24
Forks
10
Language
Python
License
MIT
Category
Last pushed
Jun 09, 2021
Commits (30d)
0
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