computer-vision-19
Scene Text Detection
3260 papers • 126 benchmarks • 313 datasets
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. Source: ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection
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Benchmarks
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ICDAR 2015
ICDAR 2015
Total-Text
Total-Text
MSRA-TD500
MSRA-TD500
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9 papers 38,049
Datasets
No datasets available.
