Ethical Practices for Collecting Ground-Truth Food Datasets: A Systematic Review-Reference-Cited by-同舟云学术

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Ethical Practices for Collecting Ground-Truth Food Datasets: A Systematic Review

Published:2024-06-25 Issue: Volume: Page:530-536
ISSN:
Container-title:2024 IEEE Conference on Artificial Intelligence (CAI)
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Author:

Ataguba Grace¹,Riyadh Md²,Okaiyeto Samuel Ariyo³,Daniel James⁴,Xiao Hong-Wei³,Orji Rita¹

Affiliation:

1. Dalhousie University,Department of Computer Science,Halifax,Canada

2. Carleton University,School of Information Technology,Ottawa,Canada

3. China Agricultural University,College of Engineering,Beijing,China

4. Federal University,Department of Computer Science,Lokoja,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10605128/10605229/10605516.pdf?arnumber=10605516

Reference115 articles.

1. African foods for deep learning-based food recognition systems dataset

2. Datasheets for Datasets help ML Engineers Notice and Understand Ethical Issues in Training Data

3. Deep neural network for food image classification and nutrient identification: A systematic review

4. Pre-Trained Models: Past, Present and Future

5. Food Detection and Recognition Using Deep Learning – A Review

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