ICDAR 2015.

precision

Precision is the reported evaluation metric for ICDAR 2015. 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

Muted rows were not state of the art when published — an earlier or same-year result already scored better.

F Measure

F Measure is the reported evaluation metric for ICDAR 2015. 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

Muted rows were not state of the art when published — an earlier or same-year result already scored better.

recall

Recall is the reported evaluation metric for ICDAR 2015. 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

Muted rows were not state of the art when published — an earlier or same-year result already scored better.

F Measure Strong Lexicon

F Measure Strong Lexicon is the reported evaluation metric for ICDAR 2015. 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

Muted rows were not state of the art when published — an earlier or same-year result already scored better.

F Measure Weak Lexicon

F Measure Weak Lexicon is the reported evaluation metric for ICDAR 2015. 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

Muted rows were not state of the art when published — an earlier or same-year result already scored better.