AcousticBrainz
dataset·crowdsourced music features·active
Crowdsourced low- and high-level acoustic descriptors indexed by MusicBrainz recording identifiers.
Verified facts
| Official site | https://acousticbrainz.org/ ↗ |
|---|---|
| Geography | Spain |
| size | submissions: 29460584 · unique recordings: 7564215 |
| scope | Large-scale reusable music audio features without redistributing source recordings. |
| genres | multiple |
| license | CC0 |
| steward | Music Technology Group and MetaBrainz |
| languages | multilingual metadata |
| modalities | JSON low-level features; JSON high-level predictions; CSV feature dumps; MusicBrainz IDs |
| geographies | Global |
| access method | Website API and downloadable dumps. |
| intended uses | music classification; similarity; feature research |
| annotation method | Essentia signal analysis and pretrained high-level classifiers. |
| collection method | Community clients computed Essentia features locally and submitted outputs. |
| provenance claims | Features are indexed by MusicBrainz recording IDs; original audio is not redistributed. |
| current availability | Collection stopped in 2022; website, API and dumps remain available. |
| commercial use limits | No dataset-level restriction under CC0. |
| us market scope basis | Publicly available or materially used in US-facing music/audio-AI research. |
| limitations biases disputes | High-level features are less stable than low-level descriptors.; Crowdsourced submissions include duplicates and uneven catalog coverage. |
| redistribution restrictions | None claimed for AcousticBrainz feature data. |
| related models tools benchmarks | Essentia; MusicBrainz; AcousticBrainz Genre Dataset |
| corrections withdrawals replacements access changes | Stopped accepting submissions in 2022; downloadable archives preserved. |
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