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Industrial Hoisting Operation Scene Dataset
Synthetic Images & Vision Datasets
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£8,000
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Description
This dataset features high-quality synthetic images depicting typical industrial hoisting operations within factory environments, including cranes, booms, hooks, suspended cargo, and crane outrigger structures. It captures a range of operational scenarios, including high-risk situations where workers stand directly beneath suspended loads or hold the load during lifting. The data is designed for safety risk monitoring, personnel behavior recognition, and hazard detection modeling during crane operations.
The dataset is intended for industrial safety recognition systems, hoisting risk monitoring, worksite behavior classification, and multi-object cooperative annotation tasks. It supports models that detect equipment, track personnel positions, and classify dangerous actions, enabling automated monitoring and compliance enforcement in high-risk lifting environments.
All images are captured at 1920×1080 resolution from two primary viewpoints—1.6 m eye-level and 4 m overhead—covering diverse conditions such as occupied/unoccupied crane cabins, various suspended load configurations, and presence or absence of stabilizing structures like mats or sleepers. Scenes also include detailed structural elements such as booms, hooks, and cargo arrangements, ensuring rich visual diversity.
Annotations are provided in JSON format, including object detection for equipment and personnel, as well as action classification for unsafe behaviors. Label categories include cranes, booms, suspended loads, personnel positions (directly beneath, holding load), cabin occupancy state (occupied/unoccupied), outrigger structures, and mats/sleepers. Balanced representation across equipment types, personnel positions, and load configurations supports robust generalization for industrial safety AI systems.
By combining photorealistic rendering, human annotation, and realistic industrial hazard simulation, this dataset enables the development of high-accuracy risk behavior detection models, enhances industrial safety monitoring, and supports real-time hazard prevention in manufacturing and construction environments.
Keywords: hoisting operation crane detection industrial safety violation detection suspended load personnel risk behavior
Sector: Industrial Safety / Occupational Health / Heavy Equipment Monitoring / Computer Vision
Metrics: Unsafe behavior detection accuracy, equipment detection precision, multi-object tracking recall
Entities: Cranes, booms, hooks, suspended loads, workers, crane cabins, outrigger structures, mats, sleepers
Geographies: (Not specified)
Price Range (USD): 4000–20000
Source type: Synthetic data generation from simulation environment, human annotation
Additional Notes
Usage Notes & Services
©️ Copyright & Licensing
- All rights, title, and copyright for this dataset are the exclusive property of Join Intelligence (JoinAI).
- This dataset is provided under a proprietary license. Without our express written permission, any form of redistribution, modification, public display, or commercial resale is strictly prohibited. 📜 Ethics & Compliance
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- Actively Maintained: The dataset is still expanding and being updated regularly. For the most up-to-date version, please contact us directly.
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