MeatScan: An image dataset for machine learning-based classification of fresh and spoiled cow meatZenodo

This article presents MeatScan, a curated image dataset developed to support deep learning-based binary classification of cow meat as fresh or spoiled. The dataset comprises 11,000 high-resolution RGB images (5627 fresh and 5373 spoiled) captured in real-world Ghanaian environments, including open-a...

Full description

Bibliographic Details

Published in:	Data in Brief
Main Authors:	Rose-Mary Owusuaa Mensah Gyening, Michael Appiah Akoto, Kwabena Owusu-Agyemang, Linda Amoako-Banning, Kate Takyi, Peter Appiahene
Format:	Article
Language:	English
Published:	Elsevier 2025-10-01
Subjects:	Deep learning Image classification Cow meat spoilage Food quality assessment Convolutional neural networks Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S235234092500767X