Industries - Aerial imagery

computer vision in aerial imagery and drones

Use cases

Drone imagery

Create models for autonomous flight and safe landing and train drones to recognize obstacles and objects of interest.

Disaster management

Analyze aerial images or pre and post disaster-hit locations with proper labeling for innovative disaster prevention.

Field analysis

Collect labeled data of agricultural fields and analyze how much land is devoted to each crop, how healthy the plants are, and how fast the growth is.

Vehicle identification

Use satellite marine monitoring services for individual vessel identification, data on shipment dimensions, orientation, and location.

Urban planning

Detect man-made structures like houses, huts, and buildings for urban management and smart city layout planning.

Construction inspections

Train models to recognize field equipment, as well as assess and communicate on-site construction hazards swiftly and efficiently.

How Percepto cut time to model by 60%

Percepto is a leading provider of autonomous drone-in-a-box solutions for monitoring and securing critical infrastructure and industrial sites. As the most deployed drone-in-a-box solution with Fortune 500 customers, Percepto was looking for a platform to allow them to scale their annotation pipeline alongside their rapidly growing business.

Read more to learn how SuperAnnotate delivered a platform that does it all.

SuperAnnotate for aerial imagery

Aerial imagery continuously reveals innovative opportunities for industries like construction, agriculture, and more. Training this kind of large, complex models requires a robust data annotation workflow with quality management measures and smooth iteration cycles.

SuperAnnotate is designed to build and feed quality data into AI models and get them into production up to 5x faster.

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Aerial imagery

Providing the highest-quality training data for aerial and drone imagery models and redefining your ML pipeline.