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Datatang has multiple datasets of face, body, and behavior datasets covering different races and ages, which can help our clients build accurate and robust AI models.Contact Us
Datatang provides data collection of various types of speech, image and video data, and has extensive experience in data annotation in tasks such as speech recognition, object detection, semantic segmentation and behavior recognition.
Support multi-language and multi-device speech data collection and data labeling of text, noise, and speaker role
Supports static and dynamic gesture data collection and data labeling of keypoints, attributes and types.
Support customization of speakers according to tone, style, and language, and configure exclusive high-fidelity synthetic voices for digital human.
Support multi-race, multi-angle and multi-scene face image data and data annotation of bounding boxes, landmarks, segmentation, etc.
Support multi-scene and multi-angle behavior image and video data collection and data labeling of behavior and attributes
Supports comprehensive annotation needs for speech, image, video, point cloud, and text data.
Client wants to improve the technology of virtual human modeling. The virtual human is set as an adult male. The client needs to collect facial expressions, body movements and corresponding audio data in a clean indoor environment. Datatang completed the data collection project required by customers by using facial capture and motion capture equipment, and high-fidelity recording equipment.
Datatang.ai provides comprehensive data annotation and collection services to help you succeed with your AI projects.
Datatang delivers high-quality data with intelligent self-inspection, multiple quality checks, and ISO9001 certification.
30 proven annotation tools for full coverage of voice, image video, 3D point cloud and text data annotation requirements.
We follows Personal Information Protection Act, GDPR, ISO27001/ISO27701 for security and regulatory compliance.
With the help of AI-assisted pre-recognition function, human-computer interaction semi-automatic annotation is realized.