OpenMIC-2018 is an instrument recognition dataset containing 20,000 examples of Creative Commons-licensed music available on the Free Music Archive. Each example is a 10-second excerpt which has been partially labeled for the presence or absence of 20 instrument classes by annotators on a crowd-sourcing platform.
Source: OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition
Image Source: OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition
Audio Source: https://zenodo.org/record/1432913
Variants: OpenMIC-2018
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Instrument Recognition | MATPAC (SSL Model, linear eval) | Masked Latent Prediction and Classification … | 2025-02-17 |
| Instrument Recognition | DyMN-L | Dynamic Convolutional Neural Networks as … | 2023-10-24 |
| Instrument Recognition | EAsT-KD + PaSST | Audio Embeddings as Teachers for … | 2023-06-30 |
| Instrument Recognition | EAsT-Final + PaSST | Audio Embeddings as Teachers for … | 2023-06-30 |
| Instrument Recognition | PaSST | Efficient Training of Audio Transformers … | 2021-10-11 |
Recent papers with results on this dataset: