Dataset · Hugging Face
marsyas/gtzan
GTZAN is a dataset for musical genre classification of audio signals. The dataset consists of 1,000 audio tracks, each of 30 seconds long. It contains 10 genres, each represented by 100 tracks. The tracks are all 22,050Hz Mono 16-bit audio files in WAV format. The genres are: blues, classical, country, disco, hiphop, jazz, metal, pop, reggae, and rock.
| Author / organization | marsyas |
|---|---|
| Downloads | 9.7K (as reported by Hugging Face) |
| Likes | 18 |
| Created | 14 March 2022 |
| Last updated at source | 26 November 2023 |
Popularity, last 2 days
9,685 now (+437 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- sanchit-gandhi/distilhubert-finetuned-gtzanModel · used to train
- imrajeshkr/distilhubert-finetuned-gtzanModel · used to train
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