datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CrossViewUrbanTrafficDataset
Cross-View Urban Traffic Dataset
Dataset Summary
The Cross-View Urban Traffic Dataset (CVUTD) is a benchmark for cross-view urban traffic perception built from synchronized ego-centric bicycle videos and aerial drone videos recorded at real urban intersections in Regensburg, Germany.
The dataset is designed to support two linked tasks:
Cross-view identity matching between street-view and drone-view object tracks
Ego-to-BEV prediction using aerial supervision… See the full description on the dataset page: https://huggingface.co/datasets/prakharbh/CrossViewUrbanTrafficDataset.Calf-Play-Behavior-Dataset
Video recordings and play behaviour annotations of group-housed dairy calves on two Dutch farms
Status: version 1.0. A Data Descriptor describing this dataset is in preparation for Scientific Data; the citation below will be updated when it is published.
Summary
This dataset contains video of group-housed dairy calves recorded during four camera deployments of about one week each on two farms in the Netherlands, together with continuous per-calf behaviour… See the full description on the dataset page: https://huggingface.co/datasets/Sonam5/Calf-Play-Behavior-Dataset.humancentric-scenes-ai
HumanCentric-Scenes-AI
A multimodal benchmark of 296 AI-generated human-centric scenes across four domains:
CCTV / surveillance imagery (Set 2, 85 images). Midjourney-generated stills that mimic low-resolution security-camera footage — parking lots, building interiors, outdoor public spaces — designed to test whether detection cues survive heavy compression and low-light noise.
Occupation × gender portraits (Set 3, 128 images). A balanced 64-occupation × 2-gender paired design… See the full description on the dataset page: https://huggingface.co/datasets/rjmaftv33/humancentric-scenes-ai.CrossViewUrbanTrafficSubsetDataset
Cross-View Urban Traffic Subset Dataset
This repository provides a representative sample of the Cross-View Urban Traffic Dataset (CVUTD) for reviewer inspection and qualitative verification.
The subset is intended to let reviewers:
inspect the raw and annotated data format,
verify annotation quality,
understand the cross-view correspondence structure,
and assess the benchmark design without downloading the full dataset.
The full dataset is hosted separately and is available at… See the full description on the dataset page: https://huggingface.co/datasets/prakharbh/CrossViewUrbanTrafficSubsetDataset.reflection_boundary_challenge_v01ClarusC64/reflection_boundary_challenge_v01
Dataset summary
This dataset tests whether models handle mirrors and reflections without breaking container logic.Scenes contain real objects and mirrored views.Some reflections are consistent with the room.Others violate boundaries or basic geometry.
Main goals
detect when a reflection conflicts with the layout
keep track of entities visible only in mirrors
avoid placing entities across walls or through barriers
respect gravity and… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/reflection_boundary_challenge_v01.false_absence_detection_v01ClarusC64/false_absence_detection_v01
Dataset summary
This dataset tests whether models treat invisible entities as gone or still present.In each sequence, a target leaves the camera view.Some exits are real.Some are false absences with clear evidence that the target remains in the container.
Goal
check if models infer continued presence from indirect cues
avoid treating every disappearance as an exit
keep spatial grounding under occlusion and clutter
Key signals
absence_tag:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/false_absence_detection_v01.