This repository contains some deep learning architecture for intel image classification dataset.

A novel architecture for enhancing image classification. Reference paper: https://arxiv.org/abs/2104.12294

This Data contains around 25k images of size 150-150 distributed under 6 categories This data was initially published on Intel to host an Image classification Challenge.

My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦

Building a classifier on intel image dataset using transfer learning techniques and ResNet model

A CNN Image Classifier Example/Exercise

The notebook contents implementation of image classification using different CNN models: self-written & pretrained, using data Intel Image Classification.

A Comparative Study of the performance of CNN from scratch compared to a transfer learning approach (InceptionV3)