Unconstrained Text Detection in Manga: a New Dataset and Baseline [Data set]

Registro completo

Título

Unconstrained Text Detection in Manga: a New Dataset and Baseline [Data set]

Autor(es)

Matuk Herrera, Rosana; Del Gobbo, Julián

Afiliación(es) del/de los autor(es)

Matuk Herrera, Rosana. Departamento de Ciencias Básicas. Universidad Nacional de Luján; Argentina

Resumen

"Unconstrained Text Detection in Manga: a New Dataset and Baseline". It contains 450 images with the text segmentation of images from Manga109 dataset (need to request access to this dataset in order to view original manga image). Pre-processed version of the images is how they were saved straight out of GIMP. These were later processed before using for training. Post-processed version of the images is after automatically removing small connected components and filling small holes. They are also slightly bigger in width/height in order to be multiples of 8. The text is split in 2 colors: black and pink. Text in black represents text we consider easy to recognize, which is mostly when inside a speech bubble. Text in pink represents text we consider harder to detect, such as text in covers, sound effects or text outside speech bubbles. Further details can be found in our paper.

Año de publicación

2021

Idioma

inglés
indeterminado

Formato (Tipo MIME)

application/zip
application/octet-stream

Clasificación temática de acuerdo a la FORD

Ciencias informáticas y de la información

Materia

Manga; Dataset; Segmentation;

Condiciones de uso

Disponible en acceso abierto bajo licencia Creative Commons https://creativecommons.org/licenses/by/2.5/ar/

Repositorio digital

REDIUNLU (UNLu) - Universidad Nacional de Luján