Publications
2017
1.
de Paz-Centeno, Iván; Fidalgo, Eduardo; Alegre, Enrique; Al-Nabki, Wesam
Oculus-Crawl, a software tool for building datasets for computer vision tasks Artículo de revista
En: XXXVIII Jornadas de Automática, pp. 991–998, 2017, (Publisher: Servicio de Publicaciones de la Universidad de Oviedo).
Resumen | Enlaces | BibTeX | Etiquetas: Computer vision, crawler, Dataset, images, search engine
@article{paz_centeno_oculus-crawl_2017,
title = {Oculus-Crawl, a software tool for building datasets for computer vision tasks},
author = {Iván de Paz-Centeno and Eduardo Fidalgo and Enrique Alegre and Wesam Al-Nabki},
url = {https://ruc.udc.es/dspace/handle/2183/25870},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
journal = {XXXVIII Jornadas de Automática},
pages = {991–998},
abstract = {This paper introduces Oculus-Crawl, a modular and scalable tool designed to automatically collect images from Google and Yahoo Images search engines. The tool enables efficient dataset creation for computer vision tasks, featuring capabilities for storing and sharing large datasets along with their metadata. Testing demonstrated its efficiency by successfully collecting over 11,500 images with their metadata in under 14 minutes.},
note = {Publisher: Servicio de Publicaciones de la Universidad de Oviedo},
keywords = {Computer vision, crawler, Dataset, images, search engine},
pubstate = {published},
tppubtype = {article}
}
This paper introduces Oculus-Crawl, a modular and scalable tool designed to automatically collect images from Google and Yahoo Images search engines. The tool enables efficient dataset creation for computer vision tasks, featuring capabilities for storing and sharing large datasets along with their metadata. Testing demonstrated its efficiency by successfully collecting over 11,500 images with their metadata in under 14 minutes.