Definition
Computer vision is a multidisciplinary field of artificial intelligence focused on enabling computers to gain high-level understanding from digital images, videos, and other visual inputs. It seeks to automate tasks that the human visual system can perform, including recognizing objects, understanding scenes, and extracting meaningful information from visual data. The field combines techniques from machine learning, image processing, pattern recognition, and deep learning. Modern computer vision systems typically use convolutional neural networks (CNNs) and transformer architectures trained on large datasets of labeled images. Common computer vision tasks include: - **Object Detection**: Locating and classifying objects in images - **Image Classification**: Categorizing entire images - **Semantic Segmentation**: Labeling every pixel by class - **Pose Estimation**: Detecting body positions - **OCR**: Reading text in images - **Face Recognition**: Identifying individuals Computer vision powers applications in autonomous vehicles, medical imaging, industrial inspection, security systems, augmented reality, and countless other domains. The quality of training data is critical to computer vision system performance.
Examples
- Self-driving cars detecting pedestrians and traffic signs
- Medical AI analyzing X-rays to detect diseases
- Factory robots identifying defective products on assembly lines