Canned Food Surface Defect Classification Using YOLOv4
Author:
Affiliation:
1. School of Electrical, Electronics, and Computer Engineering, Mapúa University,Manila,Philippines
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10051846/10052791/10052809.pdf?arnumber=10052809
Reference21 articles.
1. Raspberry PI based Food Recognition for Visually Impaired using YOLO Algorithm
2. A YOLO-Based Approach for Aedes Aegypti Larvae Classification and Detection
3. Identification of Leaf Blast and Brown Spot Diseases on Rice Leaf with YOLO Algorithm
4. Detection and Classification of Whiteflies and Fruit Flies Using YOLO
5. Hand Gesture Recognition For Sign Language
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1. Defect Detection and Classification of Soybean Using Convolutional Neural Network;2024 7th International Conference on Information and Computer Technologies (ICICT);2024-03-15
2. Performance Analysis of EfficientNet for Rice Grain Quality Control-An Evaluation against YOLOv7 and YOLOv8;2024 7th International Conference on Information and Computer Technologies (ICICT);2024-03-15
3. Detection and Classification of Copra Meat Dryness Using Faster Region-Based Convolutional Neural Network with Inception v2 Architecture;2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET);2023-09-12
4. Classification of In-Bed Posture in a Dark Setting under Different Backgrounds using YOLOv4 (You Only Look Once);Proceedings of the 2023 13th International Conference on Biomedical Engineering and Technology;2023-06-15
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