Data-Centric Computer Vision eBook

Data-Centric Computer Vision

Approaches, Applications, and Best Practices using the Appen Data Annotation Platform Human vision systems have the advantage of learning from a lifetime of experiences how to contextualize the things we see. Machine learning models, on the other hand, usually need a substantial number of real-world scenarios to learn from to be able to product reliable computer vision (CV) outputs. These …

Machine Vision vs. Computer Vision

Machine Vision vs. Computer 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) vs. 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. The Beginning of Computer Vision Researchers began developing computer-enabled …

what is computer vision

What is Computer Vision?

Everything You Need to Know About Computer Vision With its recent surge in popularity, computer vision (CV) has become one of the fastest-growing fields of artificial intelligence (AI). The intended purpose of computer vision technology is to mimic the complexity of the human vision system, which includes eyes, receptors, and the visual cortex. This intricate system, when duplicated, gives machines …

Adobe Stock Case Study

Adobe Stock: Improves Search Relevance of Massive Asset Profile

The Company Adobe is the global leader in creative software. You’d be hard-pressed to find a professional designer who isn’t well-versed in Photoshop, Illustrator, or InDesign, but Adobe has dozens of other offerings, spanning not just the design space, but e-signatures, analytics, marketing, stock photography, and more. They are a true pioneer in the creative software space, constantly innovating on …

Zefr Case Study

Improved Quality and Increased Output of Data Insights With Zefr

The Company With the endless expansion of the digital content universe and growth of video advertising, many companies are leveraging contextual targeting to place ads alongside relevant content, as opposed to targeting ads based on user data. Zefr bridges the gap between the vast amounts of content out there, and companies seeking more nuanced contextual advertising solutions. Zefr’s technology platform …

GumGum case study

GumGum Finds A Better Way to Annotate and Classify Text and Images

The Company GumGum is an artificial intelligence (AI) company with a focus on computer vision (CV) and natural language processing (NLP). For the past 10 years, it has applied its patented capabilities to solving hard problems in a variety of industries, from professional sports to healthcare, but the company built its name with solutions for the digital advertising industry. It …

CVPR 2019: Progress and Challenges in the Field of Computer Vision

The annual Computer Vision & Pattern Recognition conference is packed with insightful presentations and top industry experts. With nearly 10,000 attendees and 1,200 papers, CVPR 2019 in Long Beach, CA was no exception. In this post, we’ll take a brief look at some notable presentations delivered at the conference for solving numerous computer vision and pattern recognition challenges. Data augmentation …

Three of the Most Innovative Automotive AI Applications at AutoSens Detroit

Appen recently exhibited at AutoSens Detroit, where we shared our approach to data collection and annotation for in-car navigation, infotainment, and monitoring, as well as autonomous vehicle solutions. Here are some of the coolest innovations in automotive AI, as spotted by our team: Mercedes Benz’s Intelligent Interior Volker Entenmann, Senior Manager of UI Functions at Daimler AG, shared how Mercedes-Benz …

here case study

Maps Faster Than Ever: HERE Technologies Creates Fine Tune Maps

The Company HERE Technologies powers mapping, navigation, and location solutions for enterprise customers. Their mission is to create a digital representation of reality to radically improve the way everyone and everything lives, moves, and interacts. Their maps, data, and products power solutions for self-driving cars, truck fleets, logistics, government, and many more. With a goal of creating three dimensional maps that …