Face Datasets

Citation Author(s):
Srinidhi
Anand
Submitted by:
Srinidhi Anand
Last updated:
Sat, 11/23/2024 - 09:15
DOI:
10.21227/7jk7-0q27
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Abstract 

This dataset consists of a small collection of real-time human face images and google source based human facial images captured in diverse environments and under varying lighting conditions. The dataset aims to provide a comprehensive resource for research in facial recognition, computer vision, and machine learning applications. The images include faces of individuals from different age groups, genders, and ethnicities, offering a varied representation of human features. This collection is intended to facilitate the development and testing of facial detection, recognition algorithms, and other facial analysis techniques. Each image is labeled with basic metadata, including measurements in labels text along with their classes (or labels). This dataset can serve as a valuable tool for both academic research and practical applications in areas such as security, human-computer interaction, and biometric identification.

Instructions: 

Dataset contains real time collection face images including occluded and less lightning effect image to test the various already developed cnn model approach to analyse its performance. Also we can use these classes to test the images with yolov8 model

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Na
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Documentation

AttachmentSize
File classes used for testing Yolo v8 model173 bytes