Codesota · Benchmark · document-layout-recognition-challenge-mini-devHome/Leaderboards/Vision & Documents/Document Layout Analysis/document-layout-recognition-challenge-mini-dev
Unknown

document-layout-recognition-challenge-mini-dev.

document-layout-recognition-challenge-mini-dev 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 document-layout-recognition-challenge-mini-dev.

Paper Leaderboard
§ 01 · Leaderboard

Results by metric.

Only 2 models on this benchmark
Help build the community leaderboard — submit your model results.
Found a wrong score or missing run?
Use row edits to send a sourced correction into moderation.
Add / edit result Report issue

Table

Table is the reported evaluation metric for document-layout-recognition-challenge-mini-dev. 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 Tableverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01fglihai
From paper: Unknown
verified1.00N/AN/ALooks wrong?
02Faster R-CNN
From paper: Unknown
verified0.98N/AN/ALooks wrong?

Figure

Figure is the reported evaluation metric for document-layout-recognition-challenge-mini-dev. 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 Figureverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01fglihai
From paper: Unknown
verified0.99N/AN/ALooks wrong?
02Faster R-CNN
From paper: Unknown
verified0.98N/AN/ALooks wrong?

List

List is the reported evaluation metric for document-layout-recognition-challenge-mini-dev. 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 Listverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01Faster R-CNN
From paper: Unknown
verified0.98N/AN/ALooks wrong?
02fglihai
From paper: Unknown
verified0.97N/AN/ALooks wrong?

Text

Text is the reported evaluation metric for document-layout-recognition-challenge-mini-dev. 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 Textverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01fglihai
From paper: Unknown
verified0.97N/AN/ALooks wrong?
02Faster R-CNN
From paper: Unknown
verified0.95N/AN/ALooks wrong?

Overall

Overall is the reported evaluation metric for document-layout-recognition-challenge-mini-dev. 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 Overallverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01fglihai
From paper: Unknown
verified0.96N/AN/ALooks wrong?
02Faster R-CNN
From paper: Unknown
verified0.95N/AN/ALooks wrong?

Title

Title is the reported evaluation metric for document-layout-recognition-challenge-mini-dev. 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 Titleverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01Faster R-CNN
From paper: Unknown
verified0.88N/AN/ALooks wrong?
02fglihai
From paper: Unknown
verified0.88N/AN/ALooks wrong?
§ 04 · Submit a result

Add to the leaderboard.

← Back to Document Layout Analysis