/kəmˈpjuːtə ˈvɪʒən/ • CV
Computer vision is an interdisciplinary field that deals with how computers can gain high-level understanding from digital images or videos. It seeks to automate tasks that the human visual system can perform, such as recognizing objects, faces, scenes, and activities.
In content moderation, computer vision powers the AI systems that automatically analyze uploaded images for policy violations, harmful content, and other moderation concerns.
Computer vision enables platforms to automatically detect NSFW content, violence, hate symbols, and other harmful imagery in milliseconds - processing billions of images that would be impossible for human moderators alone.
Modern computer vision systems use deep neural networks, particularly Convolutional Neural Networks (CNNs), trained on large labeled datasets. These networks learn to extract hierarchical features from images - from simple edges and textures to complex objects and scenes.
Computer vision enables detection of explicit content, violent imagery, hate symbols, spam text in images, face manipulation (deepfakes), and age estimation. Advanced systems can understand context and identify subtle policy violations that simpler approaches would miss.