ICDAR2017 Robust Reading Challenge on COCO-Text
Research output: Contribution to journal › Conference article › Research › peer-review
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.
Original language | English |
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Journal | IEEE Xplore Digital Library |
Number of pages | 9 |
DOIs | |
Publication status | Published - 29 Jan 2018 |
Externally published | Yes |
ID: 307526853