# Image classification Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/image-classification
> Markdown URL: https://aitinkerers.org/technologies/image-classification.md
> Technology record last updated: 2026-03-09T22:32:25Z
> Generated: 2026-10-24T04:51:55Z

Core computer vision technology: It assigns a single, predefined categorical label (e.g., 'cat,' 'defective,' 'X-ray') to an entire input image.

Image classification is the process of training a machine learning model to categorize an image into one of its predefined classes. This is typically achieved using Convolutional Neural Networks (CNNs), which learn hierarchical features from the pixel data: think of models like ResNet or AlexNet. Key applications drive significant business value: Autonomous vehicles use it for real-time object identification (car, pedestrian, road), while manufacturing employs it for quality control (classifying products as 'defective' or 'market-ready'). In healthcare, the technology analyzes medical images (CT scans, X-rays) to assist in rapid disease diagnosis.

- Official technology site: https://www.ibm.com/topics/image-classification
- Public AI Tinkerers demos and talks: 0
- Result page: 1 of 1

## Recent Public Talks and Demos

No public projects are currently indexed for this technology.