data annotation

Data: Your Key to Successful Autonomous Mobility

Appen is the leader in Data for the AI Lifecycle. This webinar explores use cases and challenges that our mobility clients see from data sourcing, data preparation, and model evaluation. Follow along as our experts discuss and demo the technologies and processes that were used to enable success for both in-cabin experiences and out-of-car data with ADAS systems and autonomous vehicles. Wilson …

The Future of Computer Vision is Data-Centric

Cullen Billhartz, Machine Learning and Computer Vision Technologist at The Boeing Company and Kuo-Chin Lien, Data Scientist and Head of Computer Vision at Appen Watch On-Demand to learn more about data and annotation best practices for any organization looking to leverage AI, specifically computer vision, within their company. Learn from our practical examples and tool showcases, and get answers for …

Training Data 101 – How to Get Reliable Training Data to Power Your AI

Training data is labeled data used to teach AI models or machine learning algorithms to make proper decisions. It’s paramount to the success of any AI model or project. We all know the phrase, “garbage in, garbage out.” If you train a model with poor-quality data, then how can you expect it to perform? You can’t and it won’t. Join …

What is Data Annotation?

Text, audio, image, or video becomes training data for machine learning through data annotation, with the help of people and technology. Building an AI or ML model that acts like a human requires large volumes of training data. For a model to make decisions and take action, it must be trained to understand specific information via data annotation. But what …

What is Data Annotation?

Building an AI or ML model that acts like a human requires large volumes of training data. For a model to make decisions and take action, it must be trained to understand specific information. Data annotation is the categorization and labeling of data for AI applications. Training data must be properly categorized and annotated for a specific use case. With …