juniorComputer Vision
What is image classification in CNNs?
Updated May 15, 2026
Short answer
Image classification assigns a label to an image using convolutional neural networks.
Deep explanation
CNNs extract hierarchical features using convolutional layers, pooling layers, and fully connected layers. Early layers detect edges, while deeper layers detect objects.
Real-world example
Classifying medical images into disease categories.
Common mistakes
- Using fully connected networks without convolution for images.
Follow-up questions
- Why are CNNs better than MLPs for images?
- What is feature hierarchy?