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
My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦
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.
Building a classifier on intel image dataset using transfer learning techniques and ResNet model
A CNN Image Classifier Example/Exercise
A Comparative Study of the performance of CNN from scratch compared to a transfer learning approach (InceptionV3)
The notebook contents implementation of image classification using different CNN models: self-written & pretrained, using data Intel Image Classification.
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