Synthesizing data for multiclass image classification
Image classification is a task used to identify what each individual image represents. Multiclass classification is a type of classification task which separates data into more than two classes. CNN, a class of deep neural network, is commonly used to analyse visual images. However, insufficient dat...
Saved in:
Main Author: | Lee, Tian Fa |
---|---|
Other Authors: | Alex Chichung Kot |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/145163 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Experimental investigation of multiclass 3D point cloud completion
by: Lee, Benedict Wei Zheng
Published: (2022) -
Development of interpretable spiking neural network for multiclass classification
by: Jeyasothy, Abeegithan
Published: (2022) -
A survery on CNN transfer learning for image classification
by: Teo, Jia Sheng
Published: (2023) -
Variational maximization-maximization of Bayesian mixture models and application to unsupervised image classification
by: Lim, Kart-Leong
Published: (2018) -
Classification on distressed sounds with CNN/RNN
by: Guo, Xihuang
Published: (2020)