Data Service
With the expansion of AI adoption in various industries, it has become crucial to build
high-quality large-scale datasets. INFINIQ accelerates AI transition based on the DataStudio
framework and provides dataset building services optimized for the entire data life cycle,
including data design/collection/refinement/labeling and dataset quality management.
Data Collection
Construct the source data available for AI recognition use.
- Service Features
-
High-precision data collection such as multi-modal
data acquisition according to various environments,
scenarios, and sensor fusion
- How to Collect
- Road scene multi-sensor logging and calibration, image and video collection, multi-modal collection
Data Cleansing
Vast source-data characteristics are sorted to prepare effective target data.
- Service Features
- Automatically identify and prioritize the most high-value data to be labelled at scale quickly and easily
- How to Cleanse
- Data profiling, data curation, automatic deidentification
Data Annotation
GT is created by applying labeling methods best fit to AI algorithm learning.
- Service Features
- MyCrowd is a data annotation platform that integrates vision AI and labeling operation expertise to maximize productivity and quality level of dataset.
- How to Annotate
-
Meta tagging, BBox, Polygon, Semantic
Segmentation, Polyline,Cuboid, Point, Skeleton,
LiDar(3D PC)...
Data Inspection
Quality Control to secure quality metrics and quality goals of a dataset.
- Service Features
- Inspection by data quality experts using vision AI technology
- How to Inspect
- Verify the quality of dataset using 3-step quality assurance system with Labler, Reviewer, and Inspector. Sematic semantic corectness check (IOU comparison) and syntax completeness check (Find a missing class) are carried out.