Use skilled in-market evaluators to determine which images and videos match search queries on a worldwide basis
One of the challenges of multimedia search is that images and video are not always clearly labeled with the text that best matches the content to a user’s query. Oftentimes the relevance is visual or auditory, not textual. Training search engines to correctly evaluate non-textual relevance and return the best results requires a complex understanding of user intent and experience.
Appen provides skilled evaluators who are experts in the language and culture of their location, and who are enthusiastic about the medium they are evaluating, be it images or videos. They use their expertise to determine what users in their market are looking for and to evaluate how well the images or videos returned will satisfy those users. This data is then used by our clients to train their search engines to return the best images and videos for every query.
With access to a crowd of 1 million people in over 130 countries, combined with our experienced project managers, you can improve the accuracy of the images and videos that accompany your search results for users worldwide.
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 …
The Benefits of Artificial Intelligence are Enhancing the Business Landscape
The unstoppable march of Artificial Intelligence (AI) and machine learning is already touching our lives in so many ways. But its effects have only just begun to take hold.
An Introduction to Machine Learning Training Data [White Paper]
When it comes to your AI strategy, have you considered the amount and type of data you’ll need to effectively train your machine learning models? This white paper aims to help business executives embarking on—or looking to improve—their machine learning initiatives, and covers why machine learning requires a high volume of data, the importance of high-quality data, and what data sources to consider.