FACE - Face At Classroom Environment: Dataset and Exploration

Autor: Vishv Malhotra, Erico Darmawan Handoyo, Sulaeman Santoso, Setia Budi, Hapnes Toba, Huyen Nguyen, Oscar Karnalim
Rok vydání: 2018
Předmět:
Zdroj: IPTA
DOI: 10.1109/ipta.2018.8608166
Popis: The rapid development in face detection study has been greatly supported by the availability of large image datasets, which provide detailed annotations of faces on images. However, among a number of publicly accessible datasets, to our best knowledge, none of them are specifically created for academic applications. In this paper, we propose a systematic method in forming an image dataset tailored for classroom environment. We also made our dataset and its exploratory analyses publicly available. Studies in computer vision for academic application, such as an automated student attendance system, would benefit from our dataset.
Databáze: OpenAIRE