Drone and Aerial Imagery

Customized for Drone and Aerial imagery workflows and tools

Image Annotation Products

  • Project Semantic Segmentation
    
    {
    name: "Street view camera Traffic optimization",
    task_type_id: "1",
    attributes: {"background", "bus", "car", "bike", "road"}
    }
    FORMATEXPLORE
  • Project Object Detection
    
    {
    name: "Aerial camera view airport tracking",
    task_type_id: "2",
    attributes: {"airplane", "airport equipment"}
    attributes #2: {"Boeing", "Airbus"}
    }
    FORMATEXPLORE
  • Project Area Polygons
    
    {
    name: "Drone camera port freight size -port Casablanca"
    task_type_id: "3",
    attributes: {"container",  "freight ship", "crane"}
    }
    FORMATEXPLORE
  • Project Drive map for autonomous driving 
    {
    name: "City Traffic Camera drive",
    task_type_id: "4",
    attributes: {"driving lane", "emergency lane", "border"}
    }
    FORMATEXPLORE
  • Project Infrastructure Mapping  
    {
    name: "Satellite Imagery over Kisumu county"
    task_type_id: "5",
    "image-level attributes": {"School", "Hospital", "Empty tile"}
    }
    FORMATEXPLORE
  • Project Mapping Infrastructure 
    
    {
    name: "Aerial mapping of infrastructure North-East USA"
    task_type_id: "Geo-JSON",
    attributes: {"container"}
    coordinates: {"x,y,z"}
    }
    FORMATEXPLORE

Geo-boxes, Object Tracking, Time Series for Drone Technology

Drones are typically used in industrial and asset monitoring. Recent innovation brings drones into emergency response and post-disaster assessments.  Computer vision and image recognition technology in deployed drone allows:
  • Self-navigation. Obstacles and collision prevention that allows long-distance unsupervised flights
  • Object tracking, object count and localization
  • Change detection
Drone aerial imagery
Drone aerial imagery
We developed the tools to process TIFF files with metadata (stored as GEOTIFF). The pre-processing is fully integrated to our standard annotation cycle. Geospatial formats for output allows to transpose the annotation into a meaningful, decision-making data, while preparing training set for AI, and further automation.
 
Our workflow can be modified for the time series data processing, allowing  imagery analysis on changes.
  
 

TaQadam: Making Visual Data AI-Ready

Image Annotation company with a complete solution on AI data training:
Image annotation toolData Management Platform and Trained Teams
  • Quality Assured Annotation
  • Managed Teams
  • Standard or Custom Data Output
  • Industry Specific Expertise
  • Data Management Platform
  • No Project Management Fee
  • Security and Non-Disclosure
Learn more about our Company
If you are interested to request a Demo or inquire regarding Image Annotation Pricing: