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GitHub / maheshvarade / Rice-Grain-Classification-using-MobileNetV2

Rice Grain Classification Using MobileNetV2 This project focuses on classifying five types of rice grains (Arborio, Basmati, Ipsala, Jasmine, and Karacadag) using MobileNetV2. The dataset consists of 75,000 images (15,000 per class).

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maheshvarade%2FRice-Grain-Classification-using-MobileNetV2

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 0 Bytes
Dependencies parsed at: Pending

Created at: about 1 month ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago

Topics: adam-optimizer, binarycrossentropy, gridspec, image-classification, image-processing, imagedatagenerator-jupyter, labelencoder, mobilenetv2

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