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Datasets:
musegroup
/
omr_benchmark

Tasks:
Image Feature Extraction
Modalities:
Document
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
omr
sheet-music
music-notation
public-domain
benchmark
Libraries:
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pandas
Polars
License:
Dataset card Data Studio Files
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vpereverzev commited on
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FIxed README typo

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  1. README.md +2 -1
README.md CHANGED
@@ -30,13 +30,14 @@ All underlying works are **Public Domain**.
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  OMR is often evaluated on private or inconsistent datasets. This dataset aims to provide the community with a practical, reproducible, public benchmark.
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  ## What’s inside
 
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  Each PDF is generated from our own catalog of PD scores and then augmented to simulate real-world scans:
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  - ink blobs / stains
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  - scratches / wear
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  - crumpled or textured paper
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  - rotation / skew
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  - other visual noise
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- -
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  ## Benchmark Code
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  Check out official repo with evaluation code - https://github.com/musescore/omr_benchmark
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  OMR is often evaluated on private or inconsistent datasets. This dataset aims to provide the community with a practical, reproducible, public benchmark.
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  ## What’s inside
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+
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  Each PDF is generated from our own catalog of PD scores and then augmented to simulate real-world scans:
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  - ink blobs / stains
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  - scratches / wear
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  - crumpled or textured paper
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  - rotation / skew
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  - other visual noise
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+
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  ## Benchmark Code
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  Check out official repo with evaluation code - https://github.com/musescore/omr_benchmark
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