/
Data Management

Data Management

Owned by Leafia Sheraden Cox
Last updated: Mar 04, 2025
8 min read

Naming Conventions

The naming convention follows the format:

  • <number of images>_<size class>_<common name>_<batch_id>_annotations_camvid.zip for unlabeled data

  • <number of images>_<size class>_<common name>_<batch_id>_annotations_camvid_annotated.zip for labeled data

 

The batch ID indicates the date of collection as well as where it was collected following the format:

<State Abbreviation of sample location>_<YYYY>_<MM>_<DD>

 

For example:

  • 60_medium_large_Crimson_clover_MD_2023-10-10_annotations_camvid.zip

    • Number of Images = 60

    • Size Class = medium large

    • Common Name = Crimson clover

    • Batch ID = MD_2023-10-10

Downloading Data

Data is stored in a shared google drive folder titled “CVAT “. If you do not have access to the drive folder please contact mkutuga@ncsu.edu.

  1. Open Google Chrome

  2. Go to Google Drive: https://drive.google.com/drive/home

Access the CVAT folder in Google Drive

  1. Using the Search bar (🔎︎) on the Google Drive home page, search “CVAT” and hit Enter (⮠ )

  2. Double click on the “CVAT” folder to access it

We recommend bookmarking this webpage so that you can find it easily in the future. To do this click on the Star (☆) icon in the Google Chrome address field. You may also want to star the CVAT folder by selecting the folder in Google Drive and pressing the Ctrl, Alt and S (Ctrl + Alt + S ) keys simultaneously.

image-20250304-174348.png

Find the data assigned to you

  1. Double click on the “Unlabeled” folder

  2. Double click on the folder that matches your name

  3. Here you will find the datasets assigned to you.

Select and Download the Data

  1. Select the dataset you want to annotate

  2. Download the .zip file by clicking the Download (⭳) icon

Importing Data to CVAT

In the CVAT Project

  1. In the project the data corresponds to, click the Actions ⫶ button in the upper right section of the page.

  2. Select Import dataset from the dropdown that appears

  3. In the menu that appears, select the Input format field

  4. Select CamVid 1.0 from the dropdown

image-20250304-180311.png

Finding the Data

  1. If you recently downloaded the data file, find the Download (⭳) icon in the browser bar and click on it.

    1. If you did not recently download the data file, go to the Windows File Explorer and find the file wherever you saved it (the Downloads folder is default).

  2. Find the dataset in the download history and click on the folder (🗀) icon to the right of the file name to bring up the file’s location on your computer.

 

image-20250304-181023.png
image-20250304-181053.png
image-20250304-181129.png

Adding the Data

  1. Click and drag the file from the file browser into the upload area on the CVAT page.

    1. Alternatively, click the upload area on the CVAT page

      1. In the window that appears, find the data file wherever you saved it (files are saved to the Downloads folder by default)

      2. Select the data file and then click the Upload button.

  2. Once you see the .zip file’s name underneath the upload area on CVAT, click the Ok button.

  3. A circular progress bar will appear and a notification will appear in the corner of the window that says “Data import started”.

  4. When the import is done, another notification will appear that says “Annotations import is finished” and you will be returned to the project’s page.

  5. The imported data will appear in the project’s page as a task titled “Default”

Exporting Data from CVAT

  1. When you are done with annotating all the frames, click the Menu icon in the navigation bar.

  2. Select Finish the job from the dropdown

  3. Go to the Jobs page

  4. Click on the job whose state is completed

  5. Select the icon of three vertical dots in the corner of the task

  6. Select Export annotations in the dropdown

  7. In the popup that appears select the Export Format field

  8. Select CamVid 1.0

  9. Select Ok

  10. A notification will appear informing you that the export has begun

  11. Once the export has completed a notification will appear

  12. Go to the requests page and find the Annotations export request.

  13. Click on the three vertical dots and select Download

  14. In the filename field type the project name in accordance with the Naming Conventions

  15. Click Save

Make sure that you’re saving your annotated data to a location that is easy for you to access and remember

image-20250304-171836.png
image-20250304-171903.png
image-20250304-171954.png
image-20250304-175544.png
image-20250304-172029.png
image-20250304-172059.png
image-20250304-172122.png
image-20250304-172202.png
image-20250304-172145.png
image-20250304-172307.png
image-20250304-172341.png
image-20250304-172606.png
image-20250304-172806.png
image-20250304-172747.png
image-20250304-173830.png
image-20250304-173923.png
image-20250304-174019.png
image-20250304-175432.png

 

 

 

Uploading Labeled Data

Data is stored in a shared google drive folder titled “CVAT “. If you do not have access to the drive folder please contact mkutuga@ncsu.edu.

  1. Open Google Chrome

  2. Go to Google Drive: https://drive.google.com/drive/home

Access the CVAT folder in Google Drive

  1. Using the Search bar (🔎︎) on the Google Drive home page, search “CVAT” and hit Enter (⮠ )

  2. Double click on the “CVAT” folder to access it

We recommend bookmarking this webpage so that you can find it easily in the future. To do this click on the Star (☆) icon in the Google Chrome address field. You may also want to star the CVAT folder by selecting the folder in Google Drive and pressing the Ctrl, Alt and S (Ctrl + Alt + S ) keys simultaneously.

image-20250304-174348.png

Find your subfolder

  1. Double click on the “Labeled” folder

  2. Double click on the folder that matches your name

image-20250304-174221.png
image-20250304-174249.png
image-20250304-174309.png
image-20250304-174432.png

Select and Upload the Data

  1. In the corner of the Google Drive page, click the button that says New +

  2. Select File upload

  3. In the file explorer window that appears, select the dataset you want to upload

  4. Upload the .zip file by clicking Open

Make sure that your file adheres to the Naming Conventions

image-20250304-174139.png
image-20250304-174516.png
image-20250304-174911.png
image-20250304-174925.png
image-20250304-174953.png

Related content