Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2020-05-29 000000m 15:51:51 - Overview

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Name (Institute + Shorttitle)Virginia Tech and Arab Academy for Science & Technology (VT-AAST) The VT-AAST Benchmarking Dataset 
Description (include details on usage, files and paper references)A New Color Image Database for Benchmarking of Face Detection Techniques and Human Skin Segmentation Techniques​.

A new color face image database for benchmarking of automatic face detection algorithms and human skin segmentation techniques. It is named the VT-AAST image database, and is divided into four parts. Part one is a set of 286 color photographs that include a total of 1027 faces in the original format given by our digital cameras, offering a wide range of difference in orientation, pose, environment, illumination, facial expression and race. Part two contains the same set in a different file format. The third part is a set of corresponding image files that contain human colored skin regions resulting from a manual segmentation procedure. The fourth part of the database has the same regions converted into grayscale. The database is available on-line for noncommercial use.

To get the download link after signing a disclaimer form. Contact any of the following:
Eng. Abdallah S. Abdallah

Prof. A. Lynn Abbott
E-mail: abbottATvtDOTedu

Prof. M. Abou El-Nasr
E-mail: mnasrATvtDOTedu!the-vt-mena-benchmarking-datas/cdn1 
URL Link!the-vt-mena-benchmarking-datas/cdn1 
Files (#)
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)face, detection, skin, segmentation, benchmarking, 
Last Changed2020-05-29 
Turing (2.12+3.25=?) :-)