We Make Visual Data AI-Ready

Platform for Image Annotation and Crowdsourced Geospatial Imagery Analysis

Our Solution

TaQadam is an end-to-end platform to manage training data for Computer Vision models. Bring agility to your data training pipeline.

Subscription free, pay for annotation only. Sort, filter and manage pipeline with active learning tools and an API. Trained, dedicated labeling team for your use case, with available communication channels and feedback loops. Custom annotation tools to allow precise semantic segmentation.

How we work

Image Annotation Products

Semantic Segmentation

Semantic Segmentation

Project Semantic Segmentation

{
name: "Street view camera Traffic optimization",
task_type_id: "1",
attributes: {"background", "bus", "car", "bike", "road"}
}

FORMATEXPLORE

Bouding Boxes

Project Object Detection

{
name: "Aerial camera view airport tracking",
task_type_id: "2",
attributes: {"airplane", "airport equipment"}
attributes #2: {"Boeing", "Airbus"}
}

FORMATEXPLORE

Polygons

Project Area Polygons

{
name: "Drone camera port freight size -port Casablanca"
task_type_id: "3",
attributes: {"container",  "freight ship", "crane"}
}

FORMATEXPLORE

Line Annotation

Project Drive map for autonomous driving 
{
name: "City Traffic Camera drive",
task_type_id: "4",
attributes: {"driving lane", "emergency lane", "border"}
}

FORMATEXPLORE

Classification

Project Infrastructure Mapping  
{
name: "Satellite Imagery over Kisumu county"
task_type_id: "5",
"image-level attributes": {"School", "Hospital", "Empty tile"}
}

FORMATEXPLORE

Geospatial

Project Mapping Infrastructure 

{
name: "Aerial mapping of infrastructure North-East USA"
task_type_id: "Geo-JSON",
attributes: {"container"}
coordinates: {"x,y,z"}
}

FORMATEXPLORE