Autonomous Flying

AI Training Data for Autonomous Flying

Use Semantic Segmentation for Drone mapping and Imagery

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Autonomous Flying Training Data Annotations

We offer autonomous flying training data annotation solutions for incorporating semantic segmentation for drone mapping and imagery. We can create high-quality training data for your computer vision models through various annotation and labeling techniques.

2D Aerial View Imagery Mapping

2D Aerial View Imagery Mapping

Annotate 2D aerial view image for producing high pixel mapping for autonomous flying systems.

Aerial View for Human Tracking

Label drones, satellites, and UAV images to develop training data for AI computer vision models.

Aerial View for Human Tracking
 Segmentation for Geo Sensing

Segmentation for Geo Sensing

We provide training data to geographical models through semantic segmentation of satellite, aerial, and drone imagery.

Bounding Box for Object Detection

Use this annotation technique for outlining objects of interest in an image for object dection.

Bounding Box for Object Detection
Video Annotation for Object Detection

Video Annotation for Object Detection

Use annotated lines for capturing each object in a video for computers or machines to recognize moving objects.

Objects Localization with 2D Polygon

Use this technique for annotating unevenly shaped objects in drone and satellite imagery for object localization.

Objects Localization with 2D Polygon

Top Two Reasons to Choose Anolytics for Autonomous Flying Systems

Reason #1

There is a requirement for a huge amount of data to accurately train neural networks to integrate into the aircraft’s visual cortex. The computer-vision-based automated flying systems can work like a human pilot only if the computer vision systems are trained with high-quality data. Hence, we help in developing automated pilot systems using high-quality AI training data.

Reason #2

We have a dedicated team of annotators using human-in-the-loop approach for developing training data for flying systems. We ensure consistency in interpreting edge cases across the images where we classify every pixel in images containing buildings, flat surfaces, high and low vegetation, wires, masts, pedestrians, vehicles, etc.

Interested in Working with Us?

In today's tech-driven world, a career in Artificial Intelligence (AI) can be highly rewarding. Join our team of Annotation Specialist, and be a part of the company that creates high-quality training datasets.

Get in Touch with us

USA Office USA Office

16 Horseshoe Ln, Levittown, NY 11756, United States

India Office India Office

A-83, Sector-2, Noida, Uttar Pradesh 201301

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+1 516-342-5749

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