PRAIG/JAZZMUS
Optical Music Recognition of Jazz Lead Sheets ๐ Conf. materials | ๐ฅ๏ธ Slides | ๐ถ Poster Dataset How to use Check the following code: import ast from datasets import load_dataset from PIL import ImageDraw DATASET_NAME = "PRAIG/JAZZMUS" ds = load_dataset(DATASET_NAME) image = ds["train"][0]["image"] # list of systems, with bounding boxes and encoding systems = ast.literal_eval(ds["train"][0]["annotation"])["systems"] # full page encodingsโฆ See the full description on the dataset page: https://huggingface.co/datasets/PRAIG/JAZZMUS.
| Author / organization | PRAIG |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 147 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 16 June 2025 |
| Last updated at source | 11 March 2026 |
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147 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- JuanCarlosMartinezSevilla/jazzmus-modelModel ยท used to train
Recent changes
- 16 Oct 2026 Description: Optical Music Recognition of Jazz Lead Sheets ๐ Conf. materials | ๐ฅ๏ธ Slides | ๐ถ Poster Dataset How to use Check the following code: import ast from datasets import load_dataset from PIL import ImageDraw DATASET_NAME = "PRAIG/JAZZMUS" ds โ Optical Music Recognition of Jazz Lead Sheets ๐ Conf. materials | ๐ฅ๏ธ Slides | ๐ถ Poster Dataset How to use Check the following code: import ast from datasets import load_dataset from PIL import ImageDraw DATASET_NAME = "PRAIG/JAZZMUS" ds
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