Sign inGet started
Dataset · Hugging Face

kd7/graid-bdd

GRAID BDD100K Question-Answer Dataset Paper | Project Page Overview This dataset was generated using GRAID (Generating Reasoning questions from Analysis of Images via Discriminative artificial intelligence), a framework for creating spatial reasoning datasets from object detection annotations. GRAID transforms raw object detection data into structured question-answer pairs that test various aspects of object localization, visual reasoning, spatial reasoning, and… See the full description on the dataset page: https://huggingface.co/datasets/kd7/graid-bdd.

Author / organizationkd7
License (as declared)cc-by-nc-sa-4.0
Downloads202 (as reported by Hugging Face)
Likes2
Created11 September 2025
Last updated at source29 October 2025
visual-reasoningspatial-reasoningobject-detectioncomputer-visionautonomous-drivingbdd100k
Embed this entry
<iframe src="https://silytics.si/embed/item/e3b08288-c9cb-46e7-9263-e0add7b3e55e" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

202 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: GRAID BDD100K Question-Answer Dataset Paper | Project Page Overview This dataset was generated using GRAID (Generating Reasoning questions from Analysis of Images via Discriminative artificial intelligence), a framework for creating spatial → GRAID BDD100K Question-Answer Dataset Paper | Project Page Overview This dataset was generated using GRAID (Generating Reasoning questions from Analysis of Images via Discriminative artificial intelligence), a framework for creating spatial

Changes detected by Silytics between refreshes of the source.

More from kd7

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.