Codesota · Computer Vision · Table Recognition · table-recognition-challenge-testTasks/Computer Vision/Table Recognition
Table Recognition · benchmark dataset · 2020 · EN

table-recognition-challenge-test.

Dataset from Papers With Code

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§ 01 · Leaderboard

Best published scores.

6 results indexed across 3 metrics. Shaded row marks current SOTA; ties broken by submission date.


Primary
accuracy · higher is better
All metrics
teds-all-samples, teds-complex-samples, teds-simple-samples
teds-all-samples
2 rows
#ModelOrgSubmittedPaper / codeteds-all-samples
01Habitat-Web89.18
02EDD89.18
teds-complex-samples
2 rows
#ModelOrgSubmittedPaper / codeteds-complex-samples
01Habitat-Web86.36
02EDD86.36
teds-simple-samples
2 rows
#ModelOrgSubmittedPaper / codeteds-simple-samples
01Habitat-Web91.87
02EDD91.87
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies