Codesota · Benchmark · d4laHome/Leaderboards/Vision & Documents/Document Layout Analysis/d4la
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d4la.

d4la 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 d4la.

Paper ↗Leaderboard ↓
§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

Only 3 models on this benchmark
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Map

Map is the reported evaluation metric for d4la. 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 Mapverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01DoPTA
From paper: DoPTA: Improving Document Layout Analysis using Patch-Text Alignment
verified70.722024Paper ↗Looks wrong?
02DocLayout-YOLO
From paper: DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
verified70.32024Paper ↗Code ↗Looks wrong?
03VGT
From paper: Vision Grid Transformer for Document Layout Analysis
verified68.82023Paper ↗Code ↗Looks wrong?
§ 04 · Submit a result

Add to the leaderboard.

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