Satellite and Drone Imagery for Autonomous Flying Training Data

Autonomous flying objects like drones can provide an aerial view of the agricultural fields and farmlands to monitor the health of crops and improve yields. To train such autonomous flying objects, high-quality training data is required at a large scale. The right technique of image annotation is used to generate annotated satellite images of houses, agricultural lands and urban cities to train autonomous flying drones.

Image Annotation Types for Satellite and Drone Imagery

Bounding Box for Object Detection

Bounding Box for Object Detection

Humans Tracking with Aerial View

Aerial View Humans Tracking

2D Aerial View Imagery Mapping

2D Aerial View Imagery Mapping

Geo Sensing with Segmentation

Geo Sensing with Segmentation

Semantic for Live Stock Management

Semantic for Live Stock Management

Video Annotation for Moving Objects

Video Annotation for Moving Objects

Cogito is providing autonomous flying training data solutions with a wide range of image annotation services including the popular ones like bounding boxes and semantic segmentation Such services enable us to get an aerial view from the top in images for drone mapping and imagery, making the drone training possible with highly accurate training data. We can annotate all types of satellite and drone images with the best available quality for your businesses.

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