From humans. for machines.

Super-human quality training data for machine learning – at scale

Computer vision powers autonomous vehicles, drones, and more, but the machine learning algorithms that power computer vision are only as good as the data you feed them.

Achieving effective computer vision hinges on your ability to provide mass amounts of images and video annotated with super-human quality. Your teams have better things to do than annotate images and video for your computer vision applications. ScaleHub safely taps into trusted networks of crowd contributors for the tedious and time-consuming task of image annotation. You get to focus on innovation while we prepare your datasets using the most up-to-date methods.

Our computer vision services

Computer Vision

2D bounding boxes

Global crowd contributors draw and label 2D bounding boxes around the relevant objects in your images and videos. You benefit from accurate data that will enhance object detection in your application.

Computer Vision


Benefit from enhanced object detection thanks to accurate training data. Our global crowd contributors draw and label polygons around the relevant objects in your images and videos.

Computer Vision

Semantic segmentation

Separate objects of an image into the segments you need your algorithms to recognize. Our global crowd contributors annotate the objects of interest in your images at pixel level.

Your benefits

Computer Vision

Datasets with super-human accuracy

The ScaleHub Portal uses smart algorithms and a proven quality control system within our crowd workforce for the highest quality image annotation and data labeling.

Computer Vision

Completion time guarantees

Dividing and conquering huge data volumes among our global crowd workforce means we can guarantee completion times. You get your data when you need it – it’s as simple as that.

Computer Vision

Simply tackle jobs of any size

Our cloud-native, fully automated crowdsourcing platform gives you access to a global crowd workforce of over 2.3 million, meaning there’s no job too big.

Computer Vision

Tap into rich data processing expertise

With over 250 years of combined data processing expertise, you’re in good hands with ScaleHub. We get things done and help you focus on innovation.

How it works

Step 1

Step 1

You upload your data to our portal.
Step 2

Step 2

The ScaleHub Portal combines human work and smart algorithms to annotate and label your data.
Step 3

Step 3

You receive accurate ground truth data to power your machine learning endeavors.

It’s that simple. We help you turn your collected data into actionable data. Contact us and find out more.

Use cases

A few examples of how ScaleHub powers computer vision applications with actionable training data:

Autonomous vehicles

Teach self-driving cars to detect and differentiate between cars, street signs, pedestrians, traffic lights and more.


Empower your systems to identify fallen trees, power lines, flooded areas and more to create accurate damage reports and process claims faster.

Transportation & logistics

Enable drones or your applications to detect, count and classify containers, and any other items or goods.


Enable your applications to identify abandoned baggage, suitcase contents and more or use facial recognition to identify travelers strengthening security.

Our crowdsourcing platform

0 million
global on-demand crowd contributors accessible
0 +
combined years of experience in data processing
0 billion +
microtasks completed for our customers

Want to learn more and see
our technology in action?

Schedule a 30-minute demo with one of our experts: We’d love to show
you how we can prepare super-human quality training data
for your computer vision applications.