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blind photographers

Blind photographers are individuals who are visually impaired or completely blind who capture photographic images using cameras or mobile devices. Rather than relying on sight, these photographers use non-visual sensory inputs, such as touch, sound, temperature, and spatial memory, along with assistive technologies and auditory feedback to compose shots. In practical and assistive contexts, blind photographers often take pictures of physical objects, labels, or environments to obtain information through accessibility tools or visual question answering services, which frequently results in distinct framing, lighting, and focus characteristics compared to photographs taken by sighted individuals. Additionally, blind photography serves as an artistic medium, enabling creators to document their experiences, explore sensory perception, and challenge traditional conventions of visual art.

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VizWiz Grand Challenge: Answering Visual Questions from Blind People

VizWiz Grand Challenge: Answering Visual Questions from Blind People

Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham

OrganizationsCarnegie Mellon UniversityUniversity of Colorado BoulderUniversity of RochesterUniversity of Science and Technology of ChinaUniversity of Texas at Austin

Why you should read this

Introduces VizWiz, a dataset of over 31,000 real-world visual questions from blind users that challenges visual question answering models to handle conversational queries, imperfect mobile photos, and unanswerable prompts in genuine assistive settings.

The study of algorithms to automatically answer visual questions currently is motivated by visual question answering (VQA) datasets constructed in artificial VQA settings. We propose VizWiz, the first goal-oriented VQA dataset arising from a natural VQA setting. VizWiz consists of over 31,000 visual questions originating from blind people who each took a picture using a mobile phone and recorded a spoken question about it, together with 10 crowdsourced answers per visual question. VizWiz differs from the many existing VQA datasets because (1) images are captured by blind photographers and so are often poor quality, (2) questions are spoken and so are more conversational, and (3) often visual questions cannot be answered. Evaluation of modern algorithms for answering visual questions and deciding if a visual question is answerable reveals that VizWiz is a challenging dataset. We introduce this dataset to encourage a larger community to develop more generalized algorithms that can assist blind people.

Added

2026-09-25