STRIDE-QA-Dataset

STRIDE-QA Dataset 📦 Dataset STRIDE-QA is a large-scale visual question answering (VQA) dataset for physically grounded spatiotemporal reasoning in autonomous driving. Constructed from 100 hours of multi-sensor driving data in Tokyo, it offers 16 M QA pairs over 270 K frames with dense annotations including 3D bounding boxes, segmentation masks, and multi-object tracks. Category Description Object-centric Spatial QA Spatial relations between two… See the full description on the dataset page:

Source: Hugging Face Hub (turing-motors/STRIDE-QA-Dataset). Metadata imported from the dataset’s Hub tags.