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Music Genres Classification Finetuned Gtzan
Music genre classification model fine-tuned on the GTZAN dataset with 93% accuracy
Downloads 119
Release Time : 2/6/2025
Model Overview
This model is a fine-tuned version of dima806/music_genres_classification on the GTZAN dataset, primarily used for music genre classification tasks.
Model Features
High accuracy
Achieves 93% accuracy on the GTZAN dataset
Fine-tuning optimization
Optimized on a specific dataset based on the foundational model
Efficient training
Utilizes mixed-precision training and optimized learning rate scheduling
Model Capabilities
Music genre classification
Audio feature extraction
Use Cases
Music recommendation systems
Automatic music genre tagging
Automatically classify uploaded music genres for music platforms
Improves music classification efficiency and accuracy
Music research
Music feature analysis
Analyze audio features of different music genres
Assists in music theory research
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