What’s the difference between Scale Rapid and Scale Studio?

With Scale Rapid, your data will be annotated by Scale. With Scale Studio, you are bringing your own annotation workforce, and Scale Studio is a platform to manage your annotation project and annotation workforce.

If I start with Scale Studio, am I locked into using my own workforce?

Not at all! When you start with Scale Studio, you can choose to switch your annotation projects to Scale Rapid later with just a few clicks.

Can I choose to annotate some of my data with my own workforce, and some of it using Scale’s workforce?

Definitely. If you have certain projects that you want to label with your own workforce and others that you’d like to label with Scale’s workforce, you can easily choose which product you’d like to create your project with.

Is my data secure with Scale?

At Scale, customer security comes first. Learn more about our security and compliance practices here: https://scale.com/legal/security

How does pricing work? Can I just pay-as-I-go?

Visit the Studio homepage (https://scale.com/studio) to learn more about our pricing structure.

There is a free tier that provides a complimentary amount of annotation, and you can pay-as-you-go for anything exceeding that amount.

To access additional features, you can upgrade to Teams or Pro tiers, or contact our sales team for Enterprise capabilities.

What is a Labeling Unit (LU)?

Every time one of your annotators applies a label of any kind, that is considered a Labeling Unit.

There are some exceptions on the conversion of annotations to Labeling Units (e.g., in video annotation and LIDAR / 3D annotation). Visit the Studio homepage (https://scale.com/studio) to learn more about our pricing structure.

Do I get charged based on the number of annotators / labelers I invite to my project?

No! Every tier, including our Free tier, includes unlimited annotation team members. You only get charged for the work that your annotators complete.

Are there any data minimums to get started?

No! Studio is completely self-serve and you can label as much, or as little data as you would like.

What data types are supported with Studio?

Studio supports general image annotation, 2D semantic segmentation, text collection, document transcription, named entity recognition, video playback annotation, and LIDAR (3D) annotation.

I'm not sure if Studio supports my use case. What should I do?

There's a high likelihood the Studio platform can be configured to support your use case.

In particular, text collection is our most general task type and may work for your use case through the use of presentation templates. Presentation templates allow you to build any task from scratch in markdown via CSV upload where each row corresponds to a task and each column corresponds to some type of attachment (text, image, link, etc) that will be displayed within the task.

Reach out via chat or scale_studio@scale.com and we'd be happy to discuss your use case.

What’s the difference between a Calibration Batch and a Regular Batch?

Calibration Batch: The intention of a calibration batch is to get feedback from your labelers on the instructions you have left for them before you scale up labeling volumes. This is an opportunity for labelers to tell you where your instructions might be unclear - or if there is additional information you need to specify to help them produce better labels. You can submit as many calibration batches until you feel your instructions are in a comprehensive spot.

Regular Batch: A regular batch is what you would typically create once you feel confident in your project set-up and you are ready to get your data labeled!

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Calibration batches are optional

You do not have to submit a calibration batch if you feel your labelers are already well familiarized on how to label your data.*