ICDAR2017 Robust Reading Challenge on COCO-Text | IEEE Conference Publication | IEEE Xplore

ICDAR2017 Robust Reading Challenge on COCO-Text


Abstract:

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 r...Show More

Abstract:

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.
Date of Conference: 09-15 November 2017
Date Added to IEEE Xplore: 29 January 2018
ISBN Information:
Electronic ISSN: 2379-2140
Conference Location: Kyoto, Japan

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