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table-recognition-challenge-test.

table-recognition-challenge-test 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 table-recognition-challenge-test.

Paper Leaderboard
§ 01 · Leaderboard

Results by metric.

Only 2 models on this benchmark
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Teds Simple Samples

Teds Simple Samples is the reported evaluation metric for table-recognition-challenge-test. 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 Teds Simple Samplesverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01Habitat-Web
From paper: Unknown
verified91.87N/AN/ALooks wrong?
02EDD
From paper: Unknown
verified91.87N/AN/ALooks wrong?

Teds All Samples

Teds All Samples is the reported evaluation metric for table-recognition-challenge-test. 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 Teds All Samplesverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01Habitat-Web
From paper: Unknown
verified89.18N/AN/ALooks wrong?
02EDD
From paper: Unknown
verified89.18N/AN/ALooks wrong?

Teds Complex Samples

Teds Complex Samples is the reported evaluation metric for table-recognition-challenge-test. 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 Teds Complex Samplesverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01Habitat-Web
From paper: Unknown
verified86.36N/AN/ALooks wrong?
02EDD
From paper: Unknown
verified86.36N/AN/ALooks wrong?
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