Image Classification Project
Building a basic CNN model.
1
Image Classification Project
In this project, we will build a simple CNN to classify images into categories. Image classification involves predicting the category or label of an input image.

2
Dataset for Classification
We will use the CIFAR-10 dataset, which consists of 60,000 images in 10 categories such as airplanes, cars, birds, and cats. Each image is 32×32 pixels and has 3 color channels (RGB).
All lessons in this course
- What is Image Data?
- Image Processing with OpenCV
- Convolutional Neural Networks (CNN)
- Image Classification Project
- Data Augmentation Techniques