Manage images
Copy images
To copy an image or multiple images:
- Select an image or multiple images.
- Click Copy.
- Choose the destination folder.
- Check the Include annotations and statuses box if you want to copy the images with their annotations, statuses, pins, and assignees (optional).
- 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:
- Select an image or multiple images.
- Click the Move button.
- Choose the destination folder.
- Click Move.
- 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
, andSkipped
.
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.
Updated 22 days ago