Copy images

To copy an image or multiple images:

1. Select an image or multiple images.
2. Click Copy.
3. Choose the destination folder.
4. Check the Include annotations and statuses box if you want to copy the images with their annotations, statuses, pins, and assignees (optional).
5. Click Copy.

🚧

• You can't copy images and folders at the same time.
• Images with existing names will be skipped.
• Images that exceed the folder limit won't be copied.

SDK function

To copy images between folders in a project:

sa.copy_images(
    source_project = "Project Name/Source Folder",
    image_names = ["image1.png", "image2.png"],
    destination_project = "Project Name/Destination Folder")

The image annotations and corresponding metadata are copied to the destination project by default. To disable this:

sa.copy_images(
    source_project = "Project Name/Source Folder",
    image_names = ["image1.png", "image2.png"],
    destination_project = "Project Name/Destination Folder",
    include_annotations = False,  
    copy_pin = False)

Move images

To move an image or multiple images:

1. Select an image or multiple images.
2. Click the Move button.
3. Choose the destination folder.
4. Click Move.

When you move an item from one folder to another, the item's annotation time is displayed in the Analytics tab of the previous folder. Learn more.

🚧

• You can't move folders.
• Images with existing names will be skipped and will remain in their source folder.
• Images that exceed the folder limit won't be copied.

SDK function

To move images from one folder to another:

sa.move_images(
    source_project = "Project Name/Source Folder",
    image_names = ["image1.png", "image2.png"],
    destination_project = "Project Name/Destination Folder")

Sort images

In Data, select the drop down arrow to sort the images by:

• Image name
• Status: Not started, In progress, Returned, Quality check, Completed, and Skipped.
• Priority

Find image

To find an image, go to Data and type the image name in the search bar.

SDK function

To get a project’s list of images:

sa.search_images(project = "Project Name")

To get the list of images whose names include a specific prefix:

sa.search_images(
    project = "Project Name", 
    image_name_prefix = "Image Name Prefix")

To get a list of images that have a specific annotation status:

sa.search_images(
    project = "Project Name", 
    image_name_prefix = "Image Name Prefix",
    annotation_status = "Completed")

📘

The annotation_status field can have one of the following values: NotStarted, InProgress, QualityCheck, Returned, Completed, and Skipped.

Filter images

In Data, click the filter button and filter the images based on the:

• Pinned status:
  • All: Pinned and unpinned images.
  • Pinned: Pinned images.
  • Not pinned: Unpinned images.
• Approved/Disapproved status:
  • Approved: Approved images.
  • Disapproved: Disapproved images.
  • No approval: Images that are neither approved nor disapproved.
• Assignee
• Annotation status: Any, Not started, In progress, Quality check, Returned, Completed, and Skipped.
• Prediction: Any, Not started, In progress, Completed, and Failed.
• Segmentation: Any, Not started, In progress, Completed, and Failed (Pixel Projects only).

Click Apply to apply the filter.

To remove the filter, click Reset > Apply.