Instead of needing a lifetime of input to be able to react in the real world, great computer vision solutions leverage the right combination of models and datasets that match the task at hand. Today, you need to have the right data-centric approach to build successful computer vision applications, using advanced tools and specialized annotators. You might be dealing with …
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 …
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 …
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 …
Welcome to Appen! How can we help?
