Data Annotation
Ensure your AI models operate effectively in diverse international markets.
Intro
Data Annotation Services for AI and ML Models
AI models must support data that crosses linguistic, regional, and cultural boundaries. At Andovar, we offer Multilingual Data Annotation Services designed to provide culturally nuanced, high-quality annotations that enhance your AI systems' accuracy and functionality. We specialize in delivering comprehensive multilingual annotation solutions, ensuring your AI models operate effectively in diverse international markets.
DATA ANNOTATION
What we offer
Whether dealing with text, audio, images, or video, each data type demands specialized annotation techniques to guarantee optimal model performance and create applications ready for deployment.
Text is one of the most widely used data types in AI. Harness the power of Andovar’s global crowd for reliable text annotation services in over 300 languages and diverse subject-matter expertise, ensuring your models understand and process natural language with high accuracy.
Types of Text Annotation Include:
Sentiment Annotation
Assess attitudes, emotions, and opinions to provide valuable business insights, moderate content, and improve safety.
Intent Annotation
Categorize intent to make it easier for machines to understand the intent behind a query and route the request.
Semantic Annotation
Tag specific concepts within titles and search queries to train your algorithm to recognize key phrases and improve search relevance.
Images are a fundamental data type in AI, crucial for training models to interpret and understand visual information. Leverage Andovar’s global crowd for precise image annotation services, available in a wide range of languages and with diverse subject-matter expertise, ensuring your models achieve high accuracy in visual recognition tasks.
Bounding Box Annotation
Draw rectangular boxes around objects in images to help models detect and classify objects accurately.
Semantic Segmentation
Assign a class label to each pixel in an image, allowing for detailed object recognition and scene understanding.
Polygon Annotation
Outline objects with precise polygonal shapes to capture complex and irregular object boundaries for more accurate model training.
Video is a dynamic data type in AI, essential for training models to interpret and understand moving visual information. Utilize Andovar’s global crowd for accurate video annotation services, available in numerous languages and with diverse subject-matter expertise, ensuring your models achieve high accuracy in video analysis tasks.
Object Tracking
Continuously track and label objects across frames to help models understand movement and interactions over time.
Action Annotation
Identify and label specific actions or activities within video sequences, enabling models to recognize and categorize dynamic behaviors.
Event Annotation
Mark significant events or occurrences in videos to facilitate event detection and temporal analysis.
Voice and speech are critical data types in AI, essential for training models to interpret and understand auditory information. Utilize Andovar’s global crowd for precise voice and speech annotation services, available in a multitude of languages and with diverse subject-matter expertise, ensuring your models achieve high accuracy in audio processing tasks.
Transcription
Convert spoken language into written text, providing a textual representation of audio content for further analysis and processing.
Speaker Identification
Label and differentiate between multiple speakers in an audio clip, enabling models to recognize and attribute speech to the correct individuals.
Emotion Annotation
Identify and label emotions expressed in speech, allowing models to detect sentiment and emotional tone in audio content.
