Text Annotation
- Sentiment Analysis: We provide granular sentiment analysis by annotating text data with emotional tones and intent identification. Our annotations help train AI models to better understand and predict human emotions in various contexts.
- Named Entity Recognition (NER): Our experts tag and categorize entities within texts, such as names, organizations, and locations, to enhance your model’s ability to recognize and categorize critical information.
- Intent Classification: We meticulously classify user intents in chatbots and virtual assistants, ensuring that your AI responds accurately and effectively to user inputs.
Image Annotation
- Object Detection: Our team specializes in drawing precise bounding boxes around objects in images, crucial for developing autonomous vehicles and other AI applications requiring visual data.
- Semantic Segmentation: We go beyond simple object detection, providing detailed pixel-level annotations that help models understand and segment every element within an image.
- 3D Point Cloud Annotation: For clients developing advanced AI in robotics or autonomous navigation, we offer 3D point cloud annotation services, marking objects and environments in three dimensions with unmatched accuracy.
Audio Annotation
- Speech-to-Text Alignment: Our audio annotation services include time-aligning spoken words with their corresponding text, providing critical data for voice recognition and language models.
- Emotion Detection in Speech: We annotate audio recordings with emotional cues, helping to train AI models to detect and respond to human emotions in voice interactions.
Audio Event Detection: Beyond speech, we label non-verbal sounds, such as background noises or specific events within audio files, enhancing the auditory perception of AI systems.