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A music genre classification application using CNN and Transformer models trained on the GTZAN dataset. The app processes audio files, extracts Mel-frequency cepstral coefficients (MFCC) and Mel Sp…
A fall detection system utilizing MMAction2, VideoMAE V2, and UniFormer V2 to analyze real-world video datasets. The project explores the impact of clip lengths and frame rates on model performance…