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.
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.
AI Requires a Human Touch: How Appen Recruits Crowds to Improve Technology
Kerri Reynolds, Sr. VP of Human Resources and Crowdsourcing, shares insights into crowdsourcing and crowd recruiting.