Machine Vision Recognition System of Edible and Poisonous Mushrooms Using a Small Training Set-Based Deep Transfer Learning

Author:

Sevilla William H.1,Hernandez Rowell M.2,Ligayo Michael Angelo D.3,Costa Michael T.4,Quismundo Allan Q.5

Affiliation:

1. Batangas State University,Computer Engineering Program,Batangas City,Philippines

2. Batangas State University,College of Informatics and Computing Sciences,Batangas City,Philippines

3. Quezon City University,Department of Electronics Engineering,Quezon City,Philippines

4. Cavite State University,Department of Computer and Electronics Engineering,Cavite,Philippines

5. Eulogio "Amang" Rodriguez Institute of Science and Technology,College Engineering,Manila,Philippines

Publisher

IEEE

Reference24 articles.

1. Classifying Poisonous and Edible Mushrooms in the Agaricus;alameady;International Journal of Research in Engineering Science & Technology,2017

2. YOLOv3: Real-Time Object Detection Algorithm (What's New?) - viso.ai;meel;viso ai,2021

3. Deep Learning based Object Detection using YOLOv3 with OpenCV ( Python / C++ );nayak;LearnOpenCV – OpenCV PyTorch Keras Tensorflow examples and tutorials,2018

4. A review on modern defect detection models using DCNNs – Deep convolutional neural networks

5. Object Detection System Based on Convolution Neural Networks Using Single Shot Multi-Box Detector

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