January 30, 2022

We've got good things in store for you. With this release, you can upload items to your projects from your S3 buckets and upload multilayered images. Keep reading to learn more!

AWS integration

Create an AWS integration with SuperAnnotate to add items (images, videos, documents) from your AWS S3 bucket(s) to your projects. SuperAnnotate will have read-only access to your data; your items are stored in your AWS S3 buckets and are only displayed in SuperAnnotate. Learn more.

Upload multilayered images (Beta feature)

You can upload multilayered images to your Vector Projects. A multilayered image is an image that consists of multiple layers. Think of it as several images combined into one image.

Why do I need to work with multilayered images?

You might need to work with multilayered images when you need several references of the same image to achieve higher annotation accuracy. This is applicable for annotating aerial and satellite imagery. For instance, you can upload an image consisting of 3 layers: SAR (synthetic aperture radar imagery), IR (infrared satellite imagery), and RGB.

How does it work?

When you work on one layer, the changes will be applied to the other layers as well. So if you add annotations or comments on one layer, the annotations and comments will also appear on the other layers.

Want to learn more? Email our Support Team at [email protected].

Other changes and improvements

  • Now we have Analytics for Video Projects and Document Projects.
  • We removed Include fused images from Download Settings. You can still download fused images with Python SDK.
  • Python SDK changelog.

What do you think of the updates? We’d love to hear your feedback.

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