LingYu Data Platform

Data management platform covering collection, upload, review, annotation and training preparation.

LingYu Data Platform covers the full robot-data workflow, from device preparation, task assignment, data collection and upload through to review, annotation and training preparation. It provides device operation monitoring, collection efficiency analysis, data asset statistics, annotation task scheduling, team management and performance analysis, and supports ROS Bag as well as custom formats that have been adapted, helping teams manage data production in one place.

LingYu Data Platform dashboard on a laptop. Caption: A comprehensive data acquisition platform that integrates collection, processing, labeling, review, and management, featuring visual monitoring of tasks and workflows; Visual and Traceable Data Acquisition Efficiency

Core Capabilities

Full-process Data Management

Core business chain: device preparation → create/assign collection tasks → robot collection → data upload → data warehousing → data review → annotation tasks → annotation submission → review approval → training data preparation

Data Overview

Presents core metrics such as data collected, tasks executed, device coverage and production efficiency. Supports filtering by time range, device and operation, with multi-dimensional rankings and trend analysis.

Review Workbench

Filter tasks by collection time, operation, device, operator and data status. Reviewers can view left-wrist, head and right-wrist video channels along with sensor data, and submit review conclusions against data quality standards.

Data Asset Overview

View the scale and status flow of data assets accumulated on the platform from a management perspective. Data status funnel: collected → uploaded → review passed → annotated → training-ready. Each stage shows data duration, share of collected data, reduction versus the previous stage, and stage conversion rate.

Device Cluster Management

View device count, status distribution, basic information and real-time operating metrics. Device states include working, idle, faulty, stopped, error and offline; real-time metrics include CPU, temperature, memory and battery.

Collection Efficiency Center

Tracks participating operators, task count, data volume, data duration, estimated effective duration and effective duration ratio. Supports rankings by operator and hourly distribution of working time.

Annotation Task Hall

Annotators can claim tasks in the task hall and enter an annotation page centered on video and a timeline. They can complete segment annotation, confirm, modify or delete AI pre-annotation results, create new annotations, save progress and submit for review.

Task & Team Management

Administrators can create, assign, edit and track annotation tasks, maintain team groupings of annotators and reviewers, and organize task allocation and performance review by team.

Performance Overview

Management can review overall completion of annotation tasks and individual performance. Supports daily, weekly, monthly, yearly, all-time and custom time ranges, with task creation trends, status distribution, average quality score and average utilization.

Server Storage Monitoring

Monitor total storage, used space, usage ratio and recent usage trends to help assess storage capacity and expansion needs.

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