Named Entity Recognition
Named Entity Recognition (NER) is a subtask of Natural Language Processing (NLP) that classifies and identifies key entities in text such as names, organizations, dates, and locations. It enables engines to understand structured information from unstructured text.
Text Annotation
Text annotation labels data with key information needed for training machine learning models. This improves topic classification, sentiment analysis, and AI-driven recommendations by marking important linguistic features.
Image Annotation
Image annotation identifies objects, segments regions, and labels features inside images. It is essential for computer vision tasks such as detection, classification, autonomous systems, and visual recognition.
Advanced Data Labeling
Advanced data labeling enables AI to understand multi-layered content by combining visual, textual, and contextual information. It improves model reliability and real-world performance.