Datatang collects object image and liveness data through simulated real-world scenarios for new retail. We have extensive experience in face recognition, object detection, and tracking to improve customer experience.
Support 2D & 3D face liveness detection data collection with a range of devices, and provide bounding box.
Support human behavior collection with a range of devices in multi-scene and multi-angle setting.
Support the collection of human flow data in a wide range of monitoring scenarios.
Image retrieval is more accurate by annotating the target objects in the images with bounding boxes.
Support the collection of clothing, accessories and other appendages of human, and provide classification.
Supports data collection of warehouse and logistics environment, and provide classification.
Supports comprehensive annotation needs for speech, image, video, point cloud, and text data.
The client needs to improve the accuracy of the payment platform of the face recognition system. The client has very high requirements for face data types and ambient lighting. Datatang collected 2D/3D face data and liveness detection data under different lighting, angles, occlusion, and other condition, and performs different amounts of keypoint annotation.
The client wants to further enhance the automatic identification of the merchandise in the unmanned containers. By installing cameras in the unmanned vending machine, Datatang simulated a real unmanned container and collected 300,000 images. Due to the high difficulty of manual judgement on a wide range of goods, the labeling efficiency and accuracy.
The client needed to improve the recognition and aesthetics of an intelligent clothing matching system as soon as possible. The client has very high expectations for apparel segmentation precision and needs to segment, annotate, and add attributes to a large amount of figure and apparel data. Datatang's self-developed refined keying template.
The client needed an OCR model to identify key information on product images. The difficulty of the project was that there were 5 languages on the images and there were blurred, large, obscured areas, skewed text etc. The annotation accuracy rate was 95%. The rectangular box was placed close to the text edges and the text areas were labelled at line level. 15,000 OCR.
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.