GitHub / janaghoniem / Fruits-Recognition-Using-Deep-Learning-with-Data-Augmentation

A deep learning project for classifying 130+ fruits using EfficientNet, ResNet, and MobileNet with custom augmentations and SE blocks. Built on the Fruits-360 dataset.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/janaghoniem%2FFruits-Recognition-Using-Deep-Learning-with-Data-Augmentation
PURL: pkg:github/janaghoniem/Fruits-Recognition-Using-Deep-Learning-with-Data-Augmentation

Topics: background-replacement, cnn, data-augmentation, deep-learning, efficientnetb0, fruits360, image-classification, image-recognition, keras, mobilenetv2, resnet-50, squeeze-and-excitation, tensorflow, transfer-learning

• Files
• Readme
• Dependencies
• Export SBOM

No dependencies found