Trash-ICRA19: A Bounding Box Labeled Dataset of Underwater Trash
2020-07-21
Loading...
Persistent link to this item
Statistics
View StatisticsCollection period
2018-02-01
2018-09-15
2018-09-15
Date completed
2018-09-15
Date updated
Time period coverage
Geographic coverage
Source information
Journal Title
Journal ISSN
Volume Title
Title
Trash-ICRA19: A Bounding Box Labeled Dataset of Underwater Trash
Published Date
2020-07-21
Author Contact
Sattar, Junaed
irvlab@umn.edu
irvlab@umn.edu
Type
Dataset
Abstract
This data was sourced from the J-EDI dataset of marine debris. The videos that comprise that dataset vary greatly in quality, depth, objects in scenes, and the cameras used. They contain images of many different types of marine debris, captured from real-world environments, providing a variety of objects in different states of decay, occlusion, and overgrowth. Additionally, the clarity of the water and quality of the light vary significantly from video to video. These videos were processed to extract 5,700 images, which comprise this dataset, all labeled with bounding boxes on instances of trash, biological objects such as plants and animals, and ROVs. The eventual goal is to develop efficient and accurate trash detection methods suitable for onboard robot deployment. It is our hope that the release of this dataset will facilitate further research on this challenging problem, bringing the marine robotics community closer to a solution for the urgent problem of autonomous trash detection and removal.
Description
This dataset is available for download as a .zip file named Trash_ICRA19.zip. Within the compressed folder are both the dataset and configurations for testing the datset with deep learning algorithms. There is a README in the top directory, and in most lower directories, explaining the files and directories in its directory.
Referenced by
M. Fulton, J. Hong, M. J. Islam and J. Sattar, "Robotic Detection of Marine Litter Using Deep Visual Detection Models," 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 5752-5758
https://doi.org/10.1109/ICRA.2019.8793975
https://doi.org/10.1109/ICRA.2019.8793975
Related to
Replaces
Publisher
Collections
Funding information
item.page.sponsorshipfunderid
item.page.sponsorshipfundingagency
item.page.sponsorshipgrant
Previously Published Citation
Suggested citation
Fulton, Michael S; Hong, Jungseok; Sattar, Junaed. (2020). Trash-ICRA19: A Bounding Box Labeled Dataset of Underwater Trash. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/x0qn-y082.
View/Download file
| File View/Open | Description | Size |
|---|---|---|
| trash_ICRA19.zip | This is a compressed folder containing the images, annotations, network weights, and configurations | 980.14 MB |
| README.txt | Description of the dataset at the top level | 844 B |
| LICENSE.txt | License for the dataset. Free for academic/personal use, must contact JAMSTEC for license for commercial use. | 820 B |
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.