April 2019

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 …

Solving ML Training Data Challenges at Google Cloud Next

Appen recently exhibited at Google Cloud Next in San Francisco, our first event with our new colleagues from Figure Eight. Joining over 30,000 developers, product managers, data scientists, and more, we spent three days networking, learning, and problem solving. The event covered diverse topics ranging from data analytics and DevOps to networking, security, and storage. But we on the Appen …

Appen Completes Acquisition of Figure Eight and Achieves Critical Integration Milestone

Sydney — April 18, 2019 — Appen Limited, a global leader in the development of high-quality, human-annotated datasets for machine learning (ML) and artificial intelligence (AI), today announced it has completed the acquisition of Figure Eight, which occurred on April 2nd, 2019.

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 …