Codesota · Computer Vision · Optical Character Recognition · IMPACT-PSNCTasks/Computer Vision/Optical Character Recognition
Optical Character Recognition · benchmark dataset · 2012 · PL

IMPACT Polish Digital Libraries Ground Truth.

478 pages of ground truth from four Polish digital libraries at 99.95% accuracy. Includes annotations at region, line, word, and glyph levels. Gothic and antiqua fonts.

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§ 01 · Leaderboard

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§ 06 · Contribute

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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.

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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