Drone Flying Training Data

DATA ANNOTATION FOR AERIAL IMAGING

Keymakr creates high quality training data for your computer vision models. We annotate and label aerial images and videos with various techniques:

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Common use cases of computer vision AI Aerial training data preparation

AI-enabled drone applications
Satellite image annotation
Construction progress tracking by annotation of differences between the images
Construction site safety
Equipment tracking
Property monitoring
Road traffic reporting
Pipeline monitoring

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Drones

Drones are widely used in countless scenarios: from military operations to precision agriculture.

In order to become an effective and useful piece of equipment and go beyond entertainment value, drones will need a video and image annotation for drone flying training data.

AI-enabled drone applications

Drones provide real-time aerial views for people and object tracking in hard-to-reach places and and dangerous conditions
Videos made by drones can also be annotated to identify moving objects and specific events

High Performance

Our annotation techniques produce accurate and fast labeling even for suboptimal raw data. This includes conditions like fog, smoke, rain, vibration and low light. In applications like autonomous disaster intervention the quality of training data is vital to mission effectiveness.

Equipment tracking and property monitoring

Autonomous flying can also be achieved with quantified approach parameters and topographical check-point labels. Quality training datasets can optimize your drone use for:

Construction site safety
Equipment tracking
Property monitoring
Road traffic reporting

Equipment Tracking and Property Monitoring

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Field monitoring

Once equipped with proper pattern-matching toolset drones can assist in precision agriculture

Crop health monitoring
Ripeness evaluation
Soil condition assessment
Pest detection

Satellite images annotation

We are professionals in what we do.

If your project requires image annotation, data collection or any other type of custom dataset, we will know what to do and how to approach those challenges.

We can create complex geospatial models using satellite photos, GIS and GPS data, annotating each element with highest precision possible