Why Appen?

For over 20 years, Appen has worked with companies around the world to improve their speech and machine learning-based solutions by providing high-quality, human-annotated data.

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Additional resources

Man in field with bounding box

How to Create Training Data for Computer Vision Use Cases

For simple computer vision projects, such as recognizing a pattern in a group of images, publicly available image datasets will usually suffice to train your machine learning models. But for more complex CV applications, how can you get the vast amounts of training data you need to create an accurate solution? In this post, we explain training data requirements for …

Computer Vision vs. Machine Vision

Computer Vision vs. Machine Vision — What’s the Difference?

Artificial Intelligence is an umbrella term that covers several specific technologies. In this post, we will explore machine vision (MV) and computer vision (CV). They both involve the ingestion and interpretation of visual inputs, so it’s important to understand the strengths, limitations, and best use case scenarios of these overlapping technologies. Researchers began developing computer-enabled vision technologies as early as …

Want to Build a Better Computer Vision System? Give it the Right Training Data.

For a company to build a comprehensive dataset of annotated images takes considerable time and resour