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SotA/Computer Vision/Scene Text Detection

Scene Text Detection

31 benchmarks213 papers

Scene Text Detection is a computer vision task that involves automatically identifying and localizing text within natural images or videos. The goal of scene text detection is to develop algorithms that can robustly detect and and label text with bounding boxes in uncontrolled and complex environments, such as street signs, billboards, or license plates.

<span class="description-source">Source: ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection </span>

Benchmarks

Scene Text Detection on ICDAR 2015

F-MeasurePrecisionRecallFPSAccuracy

Scene Text Detection on Total-Text

PrecisionRecallFPSF-Measure

Scene Text Detection on MSRA-TD500

F-MeasureRecallPrecisionFPS

Scene Text Detection on SCUT-CTW1500

F-MeasurePrecisionRecallFPS

Scene Text Detection on ICDAR 2013

PrecisionRecallH-MeanF-Measure

Scene Text Detection on ICDAR 2017 MLT

PrecisionRecallH-MeanF-Measure

Scene Text Detection on COCO-Text

F-MeasurePrecisionRecall

Scene Text Detection on IC19-Art

H-Mean

Scene Text Detection on IC19-ReCTs

F-Measure

Scene Text Detection on ICDAR2015

F-Measure