GitHub / deepankarvarma / Rice-MultiClass-Image-Classification-OpenCV-Keras-Tensorflow
This repository contains Python code for rice type detection using multiclass classification. The project leverages the MobileNetV2 architecture to classify six different types of rice: Arborio, Basmati, Ipsala, Jasmine, and Karacadag. The dataset used for training and evaluation can be found on Kaggle and consists of categorized rice images.
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PURL: pkg:github/deepankarvarma/Rice-MultiClass-Image-Classification-OpenCV-Keras-Tensorflow
Stars: 0
Forks: 1
Open issues: 0
License: None
Language: Python
Size: 18.6 KB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: over 1 year ago
Topics: classification, computer-vision, dataset, deep-learning, image-classification, image-processing, keras, machine-learning, mobilenetv2, multiclass, multiclass-classification, multiclass-image-classification, python, rice-type-detection, tensorflow
Funding Links https://github.com/sponsors/deepankarvarma