Uploading Data

Video Recap

  1. Click on project - Once you have made a project, click on the project you would like to upload data to
  2. Select Assets - Can be found on the sidebar
  3. Upload Images - Under Assets, you can drag and drop your files into the Upload Images rectangle or click on the box and select a folder in your local file explorer containing your images. Each image should be less than 10MB.

Common Questions

Can I upload new, additional images to the project after the onboarding process?

Yes, if you are still collecting your data or do not have access to the full dataset at the time of project creation, you can always upload your new, additional images later. Simply go to Assets and upload your images by dragging your files or folders into the box.

How do I delete images that I have uploaded on Nexus?

You can go to the Assets page and select the more options button at the bottom right of the image, and then select the Delete Image option.

What if my data is stored on Amazon S3?

We have recently released a new Connect Amazon S3 Bucket feature. Our users can now connect their AmazonS3 Bucket to Datature seamlessly. To see if this feature is a part of your plan tier, go to Plans and Pricing.

What happens if I upload duplicate files or different files with the same file name?

The most recently uploaded file will replace the old file, so please make sure to have separate names for different data.

What image formats do you support?

Nexus supports .PNG, .JPG, and .JPEG. If you have other file types, such as DICOM, you will have to split into supported file types in order for the data to be usable.

Is there an image file size restriction?

Yes, an image should be less than 10 MB.

Can other collaborators upload data as well?

Yes, your collaborators can upload data on your projects. Go to Managing Project Collaborators to see how that can be managed.

What if I only have images but not annotation data?

While image data is the minimum requirement for using the Datature platform to build your computer vision pipeline, annotation data is not. You can always annotate your images using our Annotator. However, we do not have any support for models with purely unannotated images, so be sure to annotate before you run any workflows.