Glossary

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Image Classification(also: Visual Classification, Photo 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 Retrieval(also: Content-Based Image Retrieval, CBIR, Visual Search)

A computer vision technique that searches a database of images to find ones similar to a query image based on visual features rather than text metadata. In accessibility applications, image retrieval enables systems that can identify specific product instances (like a particular…

ImageNet

ImageNet is a large-scale visual database containing over 14 million labeled images organized into thousands of categories, widely used for training and benchmarking computer vision models. Many object detection and image classification systems used in accessibility…

Inception-v3(also: Inception v3)

A deep convolutional neural network architecture developed by Google for image recognition, introduced in 2015. It uses "inception modules" that apply multiple convolution filter sizes in parallel to efficiently capture features at different scales, balancing recognition…

Individual Sign Language Recognition(also: ISLR, Word-Level Sign Recognition, Isolated Sign Recognition)

A machine learning task focused on recognizing individual signs from a sign language, translating single signs independently without considering surrounding context. Unlike continuous sign language recognition which attempts to interpret flowing signed sentences, ISLR identifies…

Instance-Level Recognition(also: Instance Recognition, Fine-Grained Recognition)

A computer vision task that involves distinguishing between specific individual objects within the same general category, rather than just identifying broad categories. For example, while category-level recognition might identify something as "a bag of chips," instance-level…

Isolated Sign Language Recognition(also: isolated SLR, word-level sign recognition)

A sign language recognition task that focuses on identifying individual, pre-segmented signs rather than continuous signing sequences. In isolated SLR, each sign is captured as a separate video clip with clear start and end points, simplifying the recognition problem compared to…

Isolated Sign Recognition(also: ISR, ISLR)

A computer vision and machine learning task focused on identifying individual signs from video recordings where each video contains a single sign production, as opposed to continuous sign language recognition which processes connected signing in sentences or conversation.…

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