This readme.txt file was generated on 2/11/2025 by Rishi Mukherjee

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GENERAL INFORMATION
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1. Common Objects Underwater (COU).


2. 
  Principal Investigator Contact Information
        Name: Junaed Sattar
           Institution: University of Minnesota
           Email: junaed@umn.edu
	   ORCID:0000-0002-3983-6265

  Associate or Co-investigator Contact Information
        Name: Rishi Mukherjee
           Institution: University of Minnesota
           Email:mukhe100@umn.edu
	   ORCID:0009-0007-6483-3000

  Associate or Co-investigator Contact Information
           Name:Sakshi Singh
           Institution: University of Minnesota
           Email: sing0975@umn.edu
	   ORCID:N/A

3. Date of data collection: 
	Between 2023 and 2024.
	
4. Geographic location of data collection: 
	Data was collected near Holetown, Barbados, Green Lake - Spicer, MN, Lake Superior - Duluth, MN, and in University of Minnesota pools in Minneapolis, MN. 

5. Information about funding sources that supported the collection of the data:
	This work was funded by the Minnesota Robotics Institute and the National Science Foundation.

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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data: 
	This data is under a Creative Commons license, please see the LICENSE.rdf file for more specific information.

	All persons in this dataset were contacted to confirm their consent to be included in the dataset. These written affirmations of consent are stored.

2. Links to publications that cite or use the data:
	N/A
		

3. Links to other publicly accessible locations of the data:
	N/A

4. Links/relationships to ancillary data sets:
	N/A

5. Was data derived from another source?
	No.


6. Recommended citation for the data:
    TBC

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DATA & FILE OVERVIEW
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1. YOLO File List (all of these files are present in YOLO.zip)
   A. Filename: images.zip
      Short description:  This compressed folder contains the images of the COU dataset in jpg format split into train, test, and val directories.

      images -
      | train -
      | test -
      | val -
        
   B. Filename: labels.zip
      Short description:  This compressed folder contains the annotation labels of the COU dataset in the YOLO label format split into train, test, and val directories.
      
      labels -
      | train -
      | test -
      | val -

   C. Filename: obj.names
      Short description:  This file contains the class names required for YOLO models.
 
   D. Filename: dataset.yaml
      Short description:  This file contains the relevant dataset information for training a YOLO model.

   E Additional Filename: coco.zip
      Short description: This file contains the dataset in the COCO format.
      | coco -
      | train_annotations.json
      | test_annotations.json
      | val_annotations.json
      | images -


2. Relationship between files:        
	The images.zip contains image data, which is required for the YOLO labels.


3. Are there multiple versions of the dataset? yes/no
   No

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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data: 
	This data was collected from field trials with robots and pool experiments with robots. All of these videos were collected on handheld GoPro devices.

2. Methods for processing the data: <describe how the submitted data were generated from the raw or collected data>
	The videos were first split into smaller portions, then annotated with bounding boxes using the CVAT labeling tool. Following this,
	the Segment Anything Model was used to generate segmentation masks. These annotations were proof-read and corrected, leaving us with the final data.

3. Instrument- or software-specific information needed to interpret the data:
	N/A


4. Standards and calibration information, if appropriate:
	N/A

5. Environmental/experimental conditions:
	N/A

6. Describe any quality-assurance procedures performed on the data:
	Every segmentation was subjected to a proofreading process after annotation, where the automated annotations were generated and inspected to ensure no 
   malformed labels were present.

7. People involved with sample collection, processing, analysis and/or submission:
	The authors did the processing and analysis, and those involved in sample collection are anonymous for their security.