datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
warehouse-safety-hazard-dataset
Warehouse Safety Hazard Detection Dataset
A synthetic dataset of 913 photorealistic warehouse images captured from a drone/overhead perspective, labeled across 5 safety hazard categories. Designed for training and benchmarking vision-language models (VLMs) on industrial safety inspection tasks.
Categories
Category
Train
Test
Total
Description
spill
170
43
213
Liquid spills on warehouse floors (oil, water, chemicals)
forklift_violation
108
30
138
Unsafe… See the full description on the dataset page: https://huggingface.co/datasets/Jsohal174/warehouse-safety-hazard-dataset.tool-safety-dataset
Tool Safety Dataset
Dataset Description
The Tool Safety Dataset is a specialized collection of tool images with detailed safety and usage information. It combines visual data with comprehensive metadata about various hand tools, making it valuable for both computer vision tasks and safety training applications.
Dataset Summary
Type: Image dataset with bounding boxes and detailed tool information
Size: Multiple splits (train/test/validation)
Format: Images with… See the full description on the dataset page: https://huggingface.co/datasets/akameswa/tool-safety-dataset.road-safety-vulnerable-road-users
Road Safety & Vulnerable Road Users Visual Dataset
Rows: 484
Dataset Description
Road Safety & Vulnerable Road Users Visual Dataset is a Global street-level imagery and geospatial computer vision dataset for image classification, visual search, and mobility research. The labeled features in the dataset are Crosswalk, Cyclist, School Bus, Traffic Cone, and Wheelchair, and each row records a matched visual feature label derived from the Outerview internal visual… See the full description on the dataset page: https://huggingface.co/datasets/Outerview/road-safety-vulnerable-road-users.libero_safety_v1
LIBERO Safety
This repository contains 50-scene synthetic LIBERO safety validation sets.
v1: original LIBERO safety image set.
v2: regenerated set using the latest scene configuration and saved manual positions.
v3: same scenes and labels as v2, with a static non-colliding MuJoCo white cutting board fixture added on the table; original V2 object and fixture states are unchanged.
v4: corrected zoomed non-reference set with pickable target objects for video rollouts.
v5: corrected… See the full description on the dataset page: https://huggingface.co/datasets/saaduddinM/libero_safety_v1.