Metadata attached to another piece of data that’s provided by a person who annotates. To process information, a computer needs information and context about the content it interprets. Data annotation allows computers to understand and make decisions based on data. A human annotator labels content like audio, video, images, and text, enabling machine learning modes to recognize and predict them.
Real-time Applications of Artificial Intelligence Annotation
1. Language Processing
Natural language processing tasks such as entity recognition, topic modeling, and sentiment analysis use AI annotations to label and classify text data.
2. E-commerce
AI annotations improve search results and product recommendations by categorizing products for e-commerce websites.
3. Image and video analysis
Annotation of videos and pictures for purposes such as facial and object recognition and object categorization.
4. Autonomous vehicles
Artificial Intelligence annotates and tags images and videos collected from vehicle-mounted cameras and sensors. The annotated data enables safer vehicle operation by identifying traffic signals, road signs, and objects on the road.
5. Healthcare
Annotation with AI identifies and labels medical images to aid in better disease detection, diagnosis, patient management, and treatment planning.
6. Social media platforms
AI annotations segregate user-generated content enabling social media platforms to moderate range, detect spams, and evaluate sentiments.
