DOI: 10.6084/m9.figshare.27263424.v1
title: ADL Object Dataset

description: ADL Object DatasetOverviewThe ADL (Activities of Daily Living) Object Dataset is a curated collection of images and annotations specifically focusing on objects commonly interacted with during daily living activities. This dataset is designed to facilitate research and development in assistive robotics in home environments.Data Sources and LicensingThe dataset comprises images and annotations sourced from four publicly available datasets:<b>COCO Dataset</b><b>License:</b> Creative Commons Attribution 4.0 International (CC BY 4.0)<b>License Link:</b> https://creativecommons.org/licenses/by/4.0/<b>Citation:</b>Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014). <i>Microsoft COCO: Common Objects in Context</i>. European Conference on Computer Vision (ECCV), 740–755.<b>Open Images Dataset</b><b>License:</b> Creative Commons Attribution 4.0 International (CC BY 4.0)<b>License Link:</b> https://creativecommons.org/licenses/by/4.0/<b>Citation:</b>Kuznetsova, A., Rom, H., Alldrin, N., Uijlings, J., Krasin, I., Pont-Tuset, J., Kamali, S., Popov, S., Malloci, M., Duerig, T., & Ferrari, V. (2020). <i>The Open Images Dataset V6: Unified Image Classification, Object Detection, and Visual Relationship Detection at Scale</i>. International Journal of Computer Vision, 128(7), 1956–1981.<b>LVIS Dataset</b><b>License:</b> Creative Commons Attribution 4.0 International (CC BY 4.0)<b>License Link:</b> https://creativecommons.org/licenses/by/4.0/<b>Citation:</b>Gupta, A., Dollar, P., & Girshick, R. (2019). <i>LVIS: A Dataset for Large Vocabulary Instance Segmentation</i>. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5356–5364.<b>Roboflow Universe</b><b>License:</b> Creative Commons Attribution 4.0 International (CC BY 4.0)<b>License Link:</b> https://creativecommons.org/licenses/by/4.0/<b>Citation:</b>Roboflow Universe: Open Source Computer Vision Community. (2024, October 18). Retrieved from https://universe.roboflow.comAll images and annotations obtained from these datasets are released under the <b>Creative Commons Attribution 4.0 International License (CC BY 4.0)</b>. This license permits sharing and adaptation of the material in any medium or format, for any purpose, even commercially, provided that appropriate credit is given, a link to the license is provided, and any changes made are indicated.<b>Redistribution Permission:</b>As all images and annotations are under the CC BY 4.0 license, we are legally permitted to redistribute this data within our dataset. We have complied with the license terms by:Providing appropriate attribution to the original creators.Including links to the CC BY 4.0 license.Indicating any changes made to the original material.Dataset StructureThe dataset includes:<b>Images</b>: High-quality images featuring ADL objects suitable for robotic manipulation.<b>Annotations</b>: Bounding boxes and class labels formatted in the YOLO (You Only Look Once) Darknet format.ClassesThe dataset focuses on objects commonly involved in daily living activities. A full list of object classes is provided in the <code>classes.txt</code> file.Format<b>Images</b>: JPEG format.<b>Annotations</b>: Text files corresponding to each image, containing bounding box coordinates and class labels in YOLO Darknet format.How to Use the Dataset<b>Download the Dataset</b><b>Unpack the Dataset</b><br><pre><pre>unzip ADL_Object_Dataset.zip<br><br></pre></pre>How to Cite This DatasetIf you use this dataset in your research, please cite our paper:<pre><pre>@article{shahria2024adl,<br> title={ADL Object Dataset: Advancing Assistive Robotic Manipulation with a Tailored Dataset},<br> author={Shahria, Md Tanzil and Rahman, Mohammad H},<br> journal={Sensors},<br> year={2024},<br> publisher={MDPI}<br>}<br></pre></pre>LicenseThis dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).<b>License Link:</b> https://creativecommons.org/licenses/by/4.0/By using this dataset, you agree to provide appropriate credit, indicate if changes were made, and not impose additional restrictions beyond those of the original licenses.AcknowledgmentsWe gratefully acknowledge the use of data from the following open-source datasets, which were instrumental in the creation of our specialized ADL object dataset:<b>COCO Dataset:</b> We thank the creators and contributors of the COCO dataset for making their images and annotations publicly available under the CC BY 4.0 license.<b>Open Images Dataset:</b> We express our gratitude to the Open Images team for providing a comprehensive dataset of annotated images under the CC BY 4.0 license.<b>LVIS Dataset:</b> We appreciate the efforts of the LVIS dataset creators for releasing their extensive dataset under the CC BY 4.0 license.<b>Roboflow Universe:</b> We acknowledge the Roboflow Universe community for sharing their datasets under the CC BY 4.0 license.Their contributions have been invaluable to our research, and we thank them for their commitment to open science and data sharing.Usage GuidelinesThis dataset is intended for research and educational purposes.Users must comply with the licenses of the source datasets.Redistribution of the dataset should include this README file and maintain the same license.Contact InformationMd Tanzil ShahriaEmail: mshahria@uwm.edu; tanzilshahria@gmail.com.Institution: University of Wisconsin-MilwaukeeDisclaimerWhile we have taken care to ensure full compliance with all licensing terms, users are responsible for ensuring their own compliance when using the dataset.