Observing Pre-Trained Convolutional Neural Network (CNN) Layers as Feature Extractor for Detecting Bias in Image Classification Data

Observing Pre-Trained Convolutional Neural Network (CNN) Layers as Feature Extractor for Detecting Bias in Image Classification Data

Detecting bias in data is crucial since it can pose serious problems when developing an AI algorithm. The research aims to propose a novel study design to detect bias in image classification data by using pretrained Convolutional Neural Network (CNN) layers as a feature extractor. There are three da...

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Bibliographic Details
Main Authors: Amadea Claire Isabel Ardison, Mikhaya Josheba Rumondang Hutagalung, Reynaldi Chernando, Tjeng Wawan Cenggoro
Format: Article
Language:English
Published: Bina Nusantara University 2022-06-01
Series:CommIT Journal
Subjects:
pre-trained convolutional neural network (cnn)
features extractor
data bias
image classification
Online Access:https://journal.binus.ac.id/index.php/commit/article/view/8144

Internet

https://journal.binus.ac.id/index.php/commit/article/view/8144

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