Image Classification

A computer vision task where a machine learning model assigns a category label to an input image based on its visual content. Image classifiers are trained on labeled example images and learn to recognize patterns associated with each category. In accessibility applications, image classification powers tools like teachable object recognizers (which let blind users identify personal items), scene description services, and automated alt text generation. Common architectures include convolutional neural networks such as Inception, ResNet, and MobileNet, which can be adapted through transfer learning for specific accessibility use cases.