metadata

license: apache-2.0
language:
  - en

Ocularone: Hazard Vest Dataset

🤗 Hugging Face | 🚀 Github

Note: The dataset was used to train YOLO models (v8 and v11) to detect the hazard vest on a person. The models can be found here.

The dataset has two files: one which contains all the images that were collected by a drone of a person wearing a hazard vest and walking around our University campus; the other file contains the training data with images that were randomly picked from the total dataset.

Dataset Structure

The dataset consists of multiple subfolders which describe the categories/conditions under which the images were collected. Each category folder has multiple subfolders for the images.

References

@misc{raj2024adaptiveheuristicsschedulingdnn,
      title={Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets}, 
      author={Suman Raj and Radhika Mittal and Harshil Gupta and Yogesh Simmhan},
      year={2024},
      eprint={2412.20860},
      archivePrefix={arXiv},
      primaryClass={cs.DC},
      url={https://arxiv.org/abs/2412.20860}, 
}