Constarium
← Search

Imaging · dataset · 2026

wakinghours/PanoVQA

Listed in Hugging Face Datasets

PanoVQA PanoVQA provides English visual question-answering annotations for panoramic scenes from NuScenes, DeepAccident, and BlendPASS.

Description

Questions cover topics such as scene descriptions, object attributes, spatial relationships, visibility, and traffic situations. The full dataset contains 653,914 question-answer records across 40,910 images.

A smaller version, PanoVQA_mini, contains 13,427 records across 4,415 images for smaller experiments and pipeline development. Each record… See the full description on the dataset page: huggingface.co/datasets/wakinghours/PanoVQA.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
image · visual question answering
Inferred from text
Image 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetswakinghours/PanoVQA9 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
concepts[task].hf_task:visual-question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0