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dise-2021-dataset.

dise-2021-dataset is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for dise-2021-dataset.

Paper ↗Leaderboard ↓
§ 01 · Leaderboard

Results by metric.

Only 2 models on this benchmark
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Percentage Correct

Percentage Correct is the reported evaluation metric for dise-2021-dataset. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Percentage Correctverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01JDeskew
From paper: Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation
verified0.862022Paper ↗Code ↗Looks wrong?
02PypiDeskew
From paper: Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation
verified0.202022Paper ↗Code ↗Looks wrong?
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