CPPE - 5: Medical Personal Protective Equipment Dataset

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.

• 128/03/22 - Won the TensorFlow Community Spotlight Award

• 06/01/2022 - Many thanks to @mariosasko for creating a Hugging Face Datasets loader.

• 05/01/2022 - This paper got featured on Google Research TRC's publication section

• 20/12/2021 - First public release of the CPPE - 5 dataset on arXiv

• 4698 bounding boxes

• 1029 high-quality non-iconic images

• Average image size of 947 pixels

• 5 object categories

• ~4.57 annotations per image

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.

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.

Have any questions, doubts, or want to present your opinions, views? You're always welcome. You can start discussions or email us at hello@cppedataset.tech. Have you used this work in your paper, blog, experiments, or more please share it with us by making a discussion under the Show and Tell category.

• 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.