HOW DO WE
COLLECT ANNOTATE DATA?
Image or data annotation is necessary for AI systems to recognize and understand what they “see” in pictures, videos, or documents. Thanks to such systems it is possible to automate a lot of processes, such as translation, customer service FAQ and help sections or even films or songs databases categorization (by mood, genre, lyrics, theme and others).
To collect such annotated data, each input is labelled or “tagged” with various key words or phrases that AI systems can recognize and categorize. The process involves detailed and systematic analysis of the input material and creating a comprehensive training database. Depending on the purpose of a particular AI system, the analysis can focus on the general description tags and labels, grouping into larger, logical categories or even intention recognition for AI systems to respond adequately when recognizing a particular request or inquiry.
Thanks to our experience in the field, we’re able to provide you with professional assistance at all stages of your projects. Our specialists can help you design the methodology, plan the annotation processes, and manage the projects to deliver the datasets ready for use.