AI engineering glossary · Generative media multimodal
What is VQA (visual question answering)?
Visual question answering (also called VQA): A task in which a model answers a free-form natural-language question about an image. It needs both perception of the picture and reasoning about the question. It is a common benchmark for measuring how well a vision-language model links perception with reasoning.
Visual question answering: an example
Shown a photo of a train platform, the model is asked 'How many people are waiting?' and answers 'Five.'
Related terms
More Generative media multimodal terms
- VITS
- Voice activity detection
- Voice cloning
- VQ-VAE
- Wasserstein GAN
- Watermarking generated content
- wav2vec 2.0
- WaveNet
Where you learn it
Visual question answering is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.