Image classification on weather images
This project is about classifying weather with different arcitecture of Convolutional Neural Networks.
Models used in this project are as follows:
- CNN
- Inception
- ResNet
- Fully connected
there are different models with these arcitectures. For example, using average-pooling and max-pooling, Dropout and batch normalization
This project was one of my project of Deep Learning course at University of Guilan in Winter 2022.
For each model, there are classification report and loss and accuracy plot.
best models were evaluated with K-fold.
The dataset contains 4 classes containing sunrise, shine, rain and cloudy.
Link of the dataset:
https://www.kaggle.com/datasets/pratik2901/multiclass-weather-dataset