AI Training Data

AABSyS delivers pioneering AI-driven Annotation and Labeling services, offering customers efficient and precise data preparation for machine learning (ML) and AI applications.

AABSyS leverages advanced AI technology to facilitate the annotation and labeling of datasets from various sources, significantly minimizing the need for manual data processing. AABSyS’s AI-based Annotation and Labeling services optimize the data preparation process for machine learning models, enhance accuracy, and support the efficient management of large-scale projects with extensive datasets.

Bounding Boxes

  •  Define object boundaries in 2D space for computer vision and ML applications.
  • Enable precise localization and dimensioning for:

– Surveillance
– Retail Analytics
– Autonomous Driving:

Polygon and Polyline Annotation

  • Define complex shapes and linear structures in 2D space using connected vertices and line segments.
  • Mark and draw shapes on images to label objects by position and orientation.
  • Enable precise localization with irregular dimensions for applications such as:

– Satellite Imagery Analysis
–  Map Creation
– Autonomous Driving
– Medical Imaging

Semantic Segmentation

  • Segment images to identify and classify objects and boundaries in 2D space.
  • Assign each pixel a class label (e.g., person, car, flower) for precise object identification.
  • Applied in various settings like:

– Agriculture and Forestry
– Transport
– Retail

Key Point Annotation

  • Label facial gestures, human poses, expressions, emotions, and body language using connected dots.
  • Used to annotate facial and skeletal features, automotive parts, and more in images.
  • Utilize points to define shapes and detect motions and body movements in applications like:

– Sports Training
– Supermarkets
– Surveillance & Security

Geospatial Annotation

  • Utilize remote sensing technologies (satellite, aerial, drone imagery) to create GIS models.
  • Generate and organize training data for machine learning and computer vision models.
  • Includes aerial view and drone imagery annotation, bounding box, semantic segmentation, and more.

LiDAR Annotation

  • Semi-Automated Feature Extraction of Utility Infrastructure
  • Power Line Vegetation Management using LiDAR Data
  • Species Classification, Canopy Height Estimation
  • LiDAR to CAD Services
  • Aerial Feature Extraction with Custom-Developed Tool
  • Feature Extraction from LiDAR for Under Ground Mapping

For more information on our AI Training Data, please contact us.

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