Codesota · Computer Vision · Scene Text Detection · ICDAR 2019 ArTTasks/Computer Vision/Scene Text Detection
Scene Text Detection · benchmark dataset · 2019 · EN

ICDAR 2019 Arbitrary-Shaped Text.

Text in arbitrary shapes including curved and rotated text. 10,166 images total.

Paper ↗Submit a result ↵
§ 01 · Leaderboard

Best published scores.

4 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.

Primary
f1 · higher is better
f-measure
4 rows
#ModelOrgSubmittedPaper / codef-measure
01pil_maskrcnnOSSICT, Chinese Academy of SciencesSep 2019ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped T…82.65
02NJU-ImagineLabOSSNanjing UniversitySep 2019ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped T…80.24
03ArtDet-v2OSSSogou OCR teamSep 2019ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped T…79.48
04CUTeOCROSSCUHK / HITSep 2019ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped T…78.36
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.
§ 04 · Literature

1 paper
tied to this benchmark.

Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.

§ 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