In this project, I want to predict the Data from 100 sports image classification from kaggle (https://www.kaggle.com/gpiosenka/sports-classification) using Convolutional Neural Networks (CNN). The dataset contains of collection of sports images covering 100 different sports.The Images are [224,224,3] jpg format. Data is separated into train, test and valid directories.
A Convolutional Neural Network, also known as CNN or ConvNet, is a class of neural networks that specializes in processing data that has a grid-like topology, such as an image. A digital image is a binary representation of visual data. It contains a series of pixels arranged in a grid-like fashion that contains pixel values to denote how bright and what color each pixel should be.
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Due to large size dataset, please download it first through this link
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After that put the dataset into your directory and change it into your location in this line codes
train = 'datasets/train'
test = 'datasets/test'
valid = 'datasets/valid'- run it. enjoy!
If you have any feedback, please reach out to me at vitorihaldijiran14@gmail.com