VizWiz (VizWiz-VQA)
Introduced by Gurari et al. in VizWiz Grand Challenge: Answering Visual Questions from Blind People
The VizWiz-VQA dataset originates from a natural visual question answering setting where blind people each took an image and recorded a spoken question about it, together with 10 crowdsourced answers per visual question. The proposed challenge addresses the following two tasks for this dataset: predict the answer to a visual question and (2) predict whether a visual question cannot be answered.
Source: https://vizwiz.org/tasks-and-datasets/vqa/Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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VizWiz 2020 test-dev
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IBM Research AI
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VizWiz 2020 VQA
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PaLI
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VizWiz 2020 test
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IBM Research AI
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VizWiz 2018
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Colin
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VizWiz 2020 Answerability
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CLIP-Ensemble
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VizWiz 2018 Answerability
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ensemble_two_best
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VizWiz
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Emu-I *
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Papers
| Paper | Code | Results | Date | Stars |
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