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Datatang supports object image and 2D/3D face anti-spoofing data collection as well as cross-camera tracking data collection by simulating real-world scenarios. We have rich data service experience in face recognition, object detection, semantic segmentation, and target behavior recognition.
Support 2D&3D face recognition and anti-spoofing data collection, and provide data labeling of bounding box, keypoints, segmentation annotation.
Support multi-device, multi-angle and multi-scene human behavior data collection, and provide data labeling of human location, keypoints, behavior and attribute.
Support data collection of people flow data in a wide range of monitoring scenarios and data annotation of people distribution.
Support data labeling of bounding boxes, segmentation, classification for objects in image.
Support data collection of clothing and accessories, and provide data labeling of classification, segmentation and attribute.
Supports data collection of warehouse and logistics environment, and provide data collection of classification, segmentation and attribute.
Supports comprehensive annotation needs for speech, image, video, point cloud, and text data.
The client wants to further enhance the automatic identification of the merchandise in the unmanned containers. Datatang simulates the real scene by installing a camera in the unmanned container and collects 300,000 pictures. Due to the high difficulty of manual judgement on a wide range of goods, the labeling efficiency and accuracy rate were greatly improved by searching for labels and displaying multi-angle picture samples for each category of labels.
The client hopes to improve the recognition accuracy of an intelligent clothes fitting system and has very high requirement for the precison of fashion segmentation and needs to segment and label a large number of characters and clothing data and add attributes. Datatang's refined matting template, with polygon and object fit within 3px, completely meets the customer's requirements for annotation precision and accuracy.
The client needs an OCR model to identify key information on product images. There are 5 languages on the pictures that the client needs to label, and there are blurs, large-area occlusions, text tilts, etc., and labeling accuracy rate is required to be 95%. Datatang completed data annotation of 15,000 OCR image within the specified time and the accuracy rate reached 98%.
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.