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noisy-bangla-numeral.

noisy-bangla-numeral 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 noisy-bangla-numeral.

Paper ↗Leaderboard ↓
§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

Only 2 models on this benchmark
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Accuracy

Accuracy is the reported evaluation metric for noisy-bangla-numeral. 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 Accuracyverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01PCGAN-CHAR
From paper: PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters
verified96.682019Paper ↗Looks wrong?
02Pixel-level RC
From paper: Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters
verified95.462018Paper ↗Looks wrong?
§ 04 · Submit a result

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