Recognise everything from above.
FlyPix AI is the no-code aerial recognition software that recognises, classifies, and labels the objects, vehicles, structures, and patterns you care about — across aerial and drone imagery at nadir and oblique angles — using deep-learning models you train from a handful of examples, saving up to 99.7% of manual review time.
Recognising one aerial scene by hand takes 997 seconds.
FlyPix AI takes 3.
A single drone or aerial survey can hold tens of thousands of objects, vehicles, and structures that all need recognising and labelling from above. Eyeballing every overhead tile by hand does not scale. FlyPix AI recognises and classifies every instance in one pass, so your labelled inventory stays current with each new flight.
Analysts squint at each aerial tile, deciding what every rooftop, vehicle, or feature is from an unfamiliar overhead angle and typing in a label. Classifications drift between operators, miss rare classes, and are stale before they reach a report.
Up to 99.7% time saved. Consistent, georeferenced aerial recognition with class labels and confidence you can track over time and export straight into your GIS.
AI that recognises and labels what is in your aerial imagery — without the code.
Aerial recognition software is a tool that identifies what an image captured from above contains — recognising objects, vehicles, structures, and patterns and assigning each one a class label. FlyPix AI is a no-code platform that uses deep-learning models to recognise, classify, and label features across aerial and drone imagery at nadir and oblique angles. You label a handful of examples of what you want recognised from above, and the engine trains a custom recognition model and runs it across your entire flight area — turning hours of manual tagging into seconds of decision-ready, labelled insight.
Everything you need to recognise and classify aerial imagery
One platform to recognise, classify, label, and monitor every object and structure across the aerial imagery you fly — from a single tile to a country-wide mosaic.
Object & structure recognition
Recognise every vehicle, rooftop, asset, and feature in an aerial scene and assign each one a class label in a single pass.
Aerial image classification
Sort whole tiles and regions into land-cover, land-use, and condition classes from above for mapping and reporting at scale.
Pattern recognition from above
Surface recurring overhead patterns and textures — field layouts, settlement forms, surface conditions — across wide flight areas.
Nadir & oblique recognition
Recognise the same classes whether captured looking straight down or at an oblique angle — the model adapts to the viewpoint.
Recognition over time
Re-run recognition on repeat flights to see how classes and labels shift between surveys — automatically.
No-code custom models
Train an aerial recognition model for exactly the classes you care about by labelling a few examples — no programming, no ML team.
From raw aerial imagery to labelled insight in four steps
A no-code workflow built so analysts, operators, and planners — not just data scientists — can run production-grade aerial recognition.
Upload your aerial imagery
Bring drone or aerial captures in any common format — RGB, multispectral, SAR, or LiDAR, at nadir or oblique angles.
Label your classes
Mark a few examples of each class you want recognised from above. A handful is enough for the engine to learn.
Run recognition
FlyPix trains a deep-learning model from your labels and recognises and classifies every instance across the flight area.
Explore & export
Review labelled results on interactive maps and dashboards, then export classified vector layers to your GIS.
Recognise features in any kind of aerial imagery
Aerial recognition is not limited to true-colour photos. FlyPix AI runs deep-learning recognition across the full range of overhead data — classify surfaces in RGB, separate materials with multispectral bands, recognise features through cloud and darkness with SAR, and read structure with LiDAR — all in one workspace.
See all supported formats →Built for every aerial recognition team
Train recognition models for the exact classes your mission cares about and get labelled results tailored to your domain.
Agriculture
Crop types & field classes
Mining
Material & surface classes
Urban planning
Building use & land use
Water & coastal
Water & shoreline classes
Energy
Asset & condition classes
Mapping & GIS
Feature classification
Defense & security
Overhead target recognition
Construction
Material & stage classes
Environment
Land-cover classes
Forestry
Species & canopy classes
Why teams choose FlyPix AI
The platform removes the bottlenecks that slow aerial recognition: manual tagging of overhead tiles, specialist headcount, rigid formats, and tooling that cannot keep pace with new flights.
Recognition in seconds
Recognise and label thousands of objects across a full aerial scene in seconds instead of hours of manual tagging — and repeat it on every new flight.
A true no-code platform
Analysts and operators train and run aerial recognition models on their own imagery — no programming, no data-science team, no vendor queue.
Built for the overhead view
Recognise classes from above at nadir and oblique angles — the model learns the overhead signatures, not a ground-level catalogue.
Scales to any area
Recognise dense features in a single tile or classify an entire survey region at the cadence your mission demands.
What geospatial teams say
From industrial pilots to research labs to environmental missions — see how teams put FlyPix AI to work.
We ran a joint pilot with FlyPix AI in an industrial setting. We were impressed by the dedicated, easy-to-work-with team, their expertise, and how quickly they applied the technology to a novel use case.
FlyPix AI helped us go from idea to proof of concept in record time. The team was responsive, the platform was easy to integrate, and we tested geospatial insights on real property data within days.
FlyPix AI made it remarkably easy to turn drone imagery into actionable results — truly next-gen tech, delivering AI-driven analysis and cloud computing within minutes without complex setups.
What surprised us most was how effortless it was to start. The platform is robust, easy to navigate, and extremely reliable.
FlyPix AI helped us automate land-use classification with incredible precision and speed, saving months of manual work.
Working with FlyPix has significantly elevated the impact of our clean-up missions. We're proud to collaborate with a team that shares our commitment to environmental responsibility.
Turn your aerial imagery into labelled intelligence.
Create an account and train your first aerial recognition model in minutes — no credit card, no code. Want help scoping your recognition workflow? Our geospatial team will set it up with you.
Aerial recognition software, answered
The questions analysts, operators, and planners ask before switching to AI-powered aerial recognition.
What is aerial recognition software?
Do I need coding or GIS expertise to use FlyPix AI?
How is aerial recognition different from object detection?
Can FlyPix AI recognise objects at oblique aerial angles?
Can FlyPix AI recognise custom classes?
How much time can FlyPix AI save versus manual recognition?
Can I try FlyPix AI on my own aerial imagery?
Recognise what your aerial imagery is showing.
Join 10,000+ users automating recognition with FlyPix AI. Upload your first flight and watch the AI recognise, classify, and label every feature from above in seconds.