# Computer Vision

> Computer vision develops algorithms that enable machines to interpret and understand visual information from the world. It powers autonomous vehicles, medical imaging, augmented reality, and industrial inspection, and has been transformed by deep learning architectures.

*Source: [https://selltoscientists.com/fields/computer-vision/](https://selltoscientists.com/fields/computer-vision/)*

**Researcher count:** 42,000
**Average funding:** $430K

## Subfields

- Object Detection
- Image Segmentation
- 3D Reconstruction
- Visual SLAM
- Generative Image Models

## Key technologies

- Convolutional Neural Networks
- Vision Transformers
- Diffusion Models
- GPU Compute
- Neural Radiance Fields

## Top institutions

- Stanford
- MIT
- ETH Zurich
- University of Amsterdam
- KAIST

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