AI Image Recognition · No-Code

Recognise everything in your imagery.

FlyPix AI is the no-code image recognition software that recognises, classifies, and labels the objects, features, and patterns you care about — across satellite, aerial, and drone imagery — using deep-learning models you train from a handful of examples, saving up to 99.7% of manual review time.

★★★★★Trusted by 10,000+ geospatial users · No credit card required
RECOGNISE GRID · LIVE
MODEL deep-learning recognition
CLASSES 14 feature types
LABELLED 46,920 objects · Δ +2.8%
Scroll to explore
Backed & powered by NVIDIA Inception Program Google for Startups IBM for Startups ESA BIC Hessen
The Benchmark

Recognising one scene by hand takes 997 seconds.
FlyPix AI takes 3.

A single high-resolution scene can hold tens of thousands of objects and features that all need recognising and labelling. Eyeballing and tagging them by hand does not scale. FlyPix AI recognises and classifies every instance in one pass, so your labelled inventory stays current with each new capture.

Manual review
997s
to review one dense scene by hand

Analysts squint at each tile, deciding what every object is and typing in a label. Classifications drift between operators, miss rare classes, and are stale before they reach a report.

VS
AI analysis by FlyPix
3s
for the same scene, fully detected

Up to 99.7% time saved. Consistent, georeferenced recognition with class labels and confidence you can track over time and export straight into your GIS.

99.7%
Time saved vs. manual
10,000+
Active users
6+
Data formats supported
14+
Classes per model
What is AI image recognition software?

AI that recognises and labels what is in your imagery — without the code.

AI image recognition software is a tool that identifies what an image contains — recognising objects, features, 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 objects, features, and patterns across satellite, aerial, and drone imagery. You label a handful of examples of what you want recognised, and the engine trains a custom recognition model and runs it across your entire area — turning hours of manual tagging into seconds of decision-ready, labelled insight.

Capabilities

Everything you need to recognise and classify imagery

One platform to recognise, classify, label, and monitor every object and feature across the imagery you capture — from a single tile to a country-wide mosaic.

Object & feature recognition

Recognise every object and feature in a scene and assign each one a class label in a single pass.

Image classification

Sort whole tiles and regions into land-cover, land-use, and condition classes for mapping and reporting at scale.

Pattern recognition

Surface recurring patterns and textures — field layouts, settlement forms, surface conditions — across wide areas.

Fine-grained labelling

Recognise classes and attributes — vehicle types, building uses, crop varieties — and label each instance as it is found.

Recognition over time

Re-run recognition on repeat captures to see how classes and labels shift between dates — automatically.

No-code custom models

Train a recognition model for exactly the classes you care about by labelling a few examples — no programming, no ML team.

How it works

From raw 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 image recognition.

STEP 01

Upload your imagery

Bring satellite, aerial, or drone captures in any common format — RGB, multispectral, SAR, or LiDAR.

STEP 02

Label your classes

Mark a few examples of each class you want recognised. A handful is enough for the engine to learn.

STEP 03

Run recognition

FlyPix trains a deep-learning model from your labels and recognises and classifies every instance across the scene.

STEP 04

Explore & export

Review labelled results on interactive maps and dashboards, then export classified vector layers to your GIS.

FlyPix AI workspace showing AI object detection on geospatial imagery
Supported Data

Recognise features in any kind of imagery

Recognition is not limited to true-colour pictures. FlyPix AI runs deep-learning recognition across the full range of remote-sensing 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
RGB & true-color
Standard satellite, aerial & drone imagery
Supported
Multispectral
Vegetation, water & land-use analysis
Supported
Hyperspectral
Fine-grained material & spectral analysis
Supported
LiDAR
Elevation, volumes & 3D terrain
Supported
SAR (Synthetic Aperture Radar)
All-weather, day-or-night monitoring
Supported
API & GIS integration
Automate workflows, export vector layers
Supported
Why FlyPix

Why teams choose FlyPix AI

The platform removes the bottlenecks that slow image recognition: manual tagging, specialist headcount, rigid formats, and tooling that cannot keep pace with new captures.

Recognition in seconds

Recognise and label thousands of objects across a full scene in seconds instead of hours of manual tagging — and repeat it on every new capture.

A true no-code platform

Analysts and operators train and run recognition models on their own imagery — no programming, no data-science team, no vendor queue.

Custom classes, few labels

Recognise exactly the classes your mission needs from a handful of labelled examples — not a fixed, generic catalogue.

Scales to any area

Recognise dense features in a single tile or classify an entire country at the cadence your mission demands.

Customer Reviews

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.

Hannes Olbrich
Hannes Olbrich
Head of Investor Office · acitoflux, Germany

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.

Ali Tehranchi
Ali Tehranchi
CEO · Bayscenary, USA

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.

Jordan Bates
Jordan Bates
Researcher · University of Liège, Belgium

What surprised us most was how effortless it was to start. The platform is robust, easy to navigate, and extremely reliable.

Krishna Mohan
Krishna Mohan
Business Head · Stesalit Systems Ltd., India

FlyPix AI helped us automate land-use classification with incredible precision and speed, saving months of manual work.

Rohit Singh
Rohit Singh
Director · Intent to Solution, India

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.

Robin Engelhard
Robin Engelhard
Chairman · Second Life e.V., Germany
Start recognising

Turn your imagery into labelled intelligence.

Create an account and train your first image recognition model in minutes — no credit card, no code. Want help scoping your recognition workflow? Our geospatial team will set it up with you.

Create an account Talk to an expert Free to start · Set up with an expert
FAQ

AI image recognition software, answered

The questions analysts, operators, and planners ask before switching to AI-powered image recognition.

What is AI image recognition software?
AI image recognition software identifies what an image contains — recognising objects, features, and patterns and assigning each one a class label. Deep-learning platforms like FlyPix AI automatically recognise, classify, and label features across satellite, aerial, and drone imagery, turning hours of manual tagging into seconds of georeferenced, labelled insight.
Do I need coding or GIS expertise to use FlyPix AI?
No. FlyPix AI is a no-code platform. You upload imagery, label a few examples of each class you want recognised, and the AI engine trains a recognition model and runs it across your whole area automatically — no programming or deep machine-learning knowledge required.
How is image recognition different from object detection?
Object detection locates each instance and draws a box or outline around it, while image recognition focuses on identifying and labelling what objects, features, and patterns are present and which class each belongs to. FlyPix AI does both — recognising and classifying features as it finds them across your imagery.
Can FlyPix AI recognise custom classes?
Yes. Because recognition models are trained from your own labelled examples, you are not limited to a fixed catalogue. You can teach FlyPix AI to recognise the exact classes you care about — crop varieties, building uses, material types, vessel categories — from a handful of labels.
What kind of models power the recognition?
FlyPix AI uses deep-learning recognition models trained on your labelled examples. The engine learns the visual signatures of each class from just a few samples and then recognises and classifies every matching instance across your entire area of interest.
How much time can FlyPix AI save versus manual recognition?
FlyPix AI can save up to 99.7% of analysis time. In FlyPix benchmarks, dense-scene recognition that takes roughly 997 seconds by hand is completed by the AI engine in about 3 seconds.
Can I try FlyPix AI on my own imagery?
Yes. You can create an account and start recognising features in your own imagery, or request a guided demo to see recognition, classification, labelling, and custom model training applied to scenes from your domain.
Nothing goes unrecognised

Recognise what your imagery is showing.

Join 10,000+ users automating image recognition with FlyPix AI. Upload your first scene and watch the AI recognise, classify, and label every feature in seconds.