Classify 8 types of fruit using the VGG16 model with accuracy up to 90%
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Updated
Mar 21, 2024 - Jupyter Notebook
Classify 8 types of fruit using the VGG16 model with accuracy up to 90%
Fruits classification using PyTorch on kaggle dataset
This repository contains a project for fruit recognition using the Fruits-360 dataset. The project leverages computer vision techniques, image segmentation, color histogram extraction, and machine learning classifiers to classify fruits into different categories.
Classifying images of fruits using deep learning with pytorch
Tabela nutricional de frutas on-line.
Fruits Classification Using Transfer Learning
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