ICDAR2017 Robust Reading Challenge on COCO-Text
Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
This report presents the final results of the ICDAR 2017 Robust Reading Challenge on COCO-Text. A challenge on scene text detection and recognition based on the largest real scene text dataset currently available: the COCO-Text dataset. The competition is structured around three tasks: Text Localization, Cropped Word Recognition and End-To-End Recognition. The competition received a total of 27 submissions over the different opened tasks. This report describes the datasets and the ground truth, details the performance evaluation protocols used and presents the final results along with a brief summary of the participating methods.
Originalsprog | Engelsk |
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Tidsskrift | IEEE Xplore Digital Library |
Antal sider | 9 |
DOI | |
Status | Udgivet - 29 jan. 2018 |
Eksternt udgivet | Ja |
ID: 307526853