CPPE - 5: Medical Personal Protective Equipment Dataset

By Rishit Dagli (Narayana Junior College) and Ali Mustufa Shaikh (Postman)

GitHub Repository | arXiv

Example annotations in CPPE - 5 for object detection demonstrating the five classes of our data set. Each example image is shown with an outline (bounding box) and the object it is identified as.

Abstract

We present a new challenging dataset, CPPE - 5 (Medical Personal Protective Equipment), with the goal to allow the study of subordinate categorization of medical personal protective equipments, which is not possible with other popular data sets that focus on broad level categories (such as PASCAL VOC, ImageNet, Microsoft COCO, OpenImages, etc). To make it easy for models trained on this dataset to be used in practical scenarios in complex scenes, our dataset mainly contains images that show complex scenes with several objects in each scene in their natural context. The image collection for this dataset focusing on: obtaining as many non-iconic images as possible and making sure all the images are real-life images unlike other existing datasets in this area. Our dataset includes 5 object categories (coveralls, face shield, gloves, mask, and goggles) and each image is annotated with a set of bounding boxes and positive labels. We present a detailed analysis of the dataset in comparison to other popular broad category datasets as well as datasets focusing on personal protective equipments, we also find that at present there exist no such publicly available datasets. Finally we also analyze performance and compare model complexities on baseline and state-of-the-art models for bounding box results. Our code, data, and trained models are available at https://git.io/cppe5-dataset.

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Dataset Statistics

  • 4698 bounding boxes

  • 1029 high-quality non-iconic images

  • Average image size of 947 pixels

  • 5 object categories

  • ~4.57 annotations per image

Citation

If you use this work, please cite the following paper:

BibTex

@misc{dagli2021cppe5,

title={CPPE-5: Medical Personal Protective Equipment Dataset},

author={Rishit Dagli and Ali Mustufa Shaikh},

year={2021},

eprint={2112.09569},

archivePrefix={arXiv},

primaryClass={cs.CV}

}

MLA

Dagli, Rishit, and Ali Mustufa Shaikh. ‘CPPE-5: Medical Personal Protective Equipment Dataset’. ArXiv:2112.09569 [Cs], Dec. 2021. arXiv.org, http://arxiv.org/abs/2112.09569.

Terms of Use

Like many other public datasets: The annotations in this dataset are licensed under the Apache 2.0 License. We do not own the copyright of the images. Use of the images must abide by the Flickr Terms of Use.

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Acknowledgements

  • The authors would like to thank Google for supporting this work by providing Google Cloud credits.

  • The authors would also like to thank Google TPU Research Cloud (TRC) program for providing access to TPUs.

  • The authors are also grateful to Omkar Agrawal for help with verifying the difficult annotations.

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