Visual search and application using deep learning (Age group classification with convolution neural network)
The consistency of processing input facial images to automatically estimating human age has generally been found to be poor. Facial image classification is an approach to classify face images into a few predefined age groups. Predicting age group from face images acquired in unconstrained conditions...
Saved in:
Main Author: | Low, Benjamin |
---|---|
Other Authors: | Yap Kim Hui |
Format: | Final Year Project |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/74924 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Development of visual search services using deep learning (Facial expression classification with convolution neural networks)
by: Seng, Eugene Rui Hao
Published: (2018) -
Visual search and applications using convolutional neural networks
by: Tanojo, Hosiana Elvirya
Published: (2018) -
Visual search using convolutional neural networks
by: Ng, Sue Shen
Published: (2018) -
Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors
by: ZHENG, Dandan, et al.
Published: (2020) -
Deep learning convolutional network for image classification
by: Moektijono, Isselin
Published: (2019)