IEEE

Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3

Abstract: This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. Current ...
IEEE

Classification of Vegetable Quality with InceptionV3, Xception and Combination of These Models

Abstract: With increasing emphasis on nutrition, food safety and consumer preferences, accurate assessment of the quality of vegetables has become important. Quality classification involves evaluating ...
GitHub

Deep learning project for fine-grained car type classification using Stanford Cars dataset. Includes training of ResNet50, InceptionV3, EfficientNetB0, evaluation (accuracy ...

This repository contains a complete deep learning pipeline for fine-grained car type classification using the Stanford Cars Dataset. The project includes data preprocessing, training three ...