Outline every pixel with deep learning.
FlyPix AI is the no-code deep learning segmentation software that turns satellite, aerial, and drone pixels into pixel-accurate masks — outlining buildings, fields, roads, water, and vegetation class by class — and saving up to 99.7% of manual labelling time.
Masking one scene by hand takes 997 seconds.
FlyPix AI takes 3.
A single high-resolution scene can hold tens of thousands of features that each need a precise outline. Tracing masks pixel by pixel does not scale. FlyPix AI segments every class in one pass with deep neural networks, so your masks stay current with each new capture.
Analysts trace polygons and paint masks pixel by pixel. Boundaries drift between operators, fine edges are missed, and the labels are stale before they reach a model or a map.
Up to 99.7% time saved. Consistent, georeferenced semantic and instance masks with crisp boundaries you can measure, track over time, and export straight into your GIS.
Deep neural networks that outline every pixel — without the code.
Deep learning segmentation software assigns a class to every pixel in an image, producing precise masks and boundaries instead of coarse boxes. FlyPix AI is a no-code platform that uses deep neural networks to deliver semantic and instance segmentation across satellite, aerial, and drone imagery. You label a handful of examples of the classes you care about, and the engine trains a custom segmentation model and runs it across your entire area — turning hours of manual mask tracing into seconds of pixel-accurate, decision-ready insight.
Everything you need for pixel-accurate segmentation
One platform to outline, classify, and measure every feature mask by mask — from a single tile to a country-wide mosaic.
Semantic segmentation
Assign every pixel to a class — building, road, field, water, vegetation — for a complete, wall-to-wall map of the scene.
Instance segmentation
Separate touching objects into individual masks so each building, tree, or vehicle gets its own outline and footprint.
Precise boundaries
Capture crisp edges and exact outlines, then measure area, perimeter, and shape directly from the mask.
Multi-class mapping
Segment many classes at once and turn a raw scene into a clean, georeferenced thematic map in a single pass.
Mask change over time
Compare masks across repeat captures to see where a class grew, shrank, or shifted between dates.
No-code model training
Train a deep segmentation model from a few labelled examples — no programming, no neural-network expertise.
From raw imagery to pixel-accurate masks in four steps
A no-code workflow built so analysts, planners, and operators — not just data scientists — can run production-grade deep learning segmentation.
Upload your imagery
Bring satellite, aerial, or drone captures in any common format — RGB, multispectral, SAR, or LiDAR.
Label a few classes
Outline a handful of examples for each class you want to segment. A few is enough for the network to learn.
Train & run the model
FlyPix trains a deep segmentation model from your labels and masks every pixel across the whole scene.
Explore & export
Review masks on interactive maps and dashboards, then export rasters and vector layers to your GIS.
Segment any kind of imagery
Clean masks are not limited to true-colour pictures. FlyPix AI segments the full range of remote-sensing data — outline structures in RGB, separate crops and materials with multispectral bands, mask features through cloud and darkness with SAR, and trace terrain with LiDAR — all in one workspace.
See all supported formats →Built for every segmentation-driven team
Train models for the exact classes your mission cares about and get masks tailored to your domain.
Agriculture
Fields, crops & canopy
Mining
Pits, tailings & stockpiles
Urban planning
Buildings & land use
Water & coastal
Shorelines & water masks
Energy
Solar arrays & corridors
Forestry
Canopy & clearings
Defense & security
Wide-area scene mapping
Mapping & GIS
Feature extraction
Environment
Land & habitat masks
Construction
Site footprints & progress
Why teams choose FlyPix AI
The platform removes the bottlenecks that slow image segmentation: manual mask tracing, specialist headcount, rigid formats, and tooling that cannot keep pace with new captures.
Masks in seconds
Segment every pixel across a full scene in seconds instead of hours of polygon tracing — and repeat it on every new capture.
A true no-code platform
Analysts and operators train and run deep segmentation models on their own imagery — no programming, no data-science team, no vendor queue.
Pixel-accurate boundaries
Crisp semantic and instance masks with tight edges you can measure, audit, and trust across millions of pixels.
Scales to any area
Mask dense features in a single tile or segment an entire country 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 imagery into pixel-accurate masks.
Create an account and train your first segmentation model in minutes — no credit card, no code. Want help scoping your segmentation workflow? Our geospatial team will set it up with you.
Deep learning segmentation software, answered
The questions analysts, planners, and operators ask before switching to AI-powered image segmentation.
What is deep learning segmentation software?
What is the difference between semantic and instance segmentation?
Do I need coding or deep learning expertise to use FlyPix AI?
What can FlyPix AI segment?
How accurate are the masks, and what formats does FlyPix AI support?
How much time can FlyPix AI save versus manual segmentation?
Can I try FlyPix AI on my own imagery?
Outline what your imagery is hiding.
Join 10,000+ users automating image segmentation with FlyPix AI. Upload your first scene and watch the deep learning engine mask every pixel in seconds.