Label imagery to train smarter models.
FlyPix AI is the no-code image annotation tool for machine learning that labels satellite, aerial, and drone imagery — bounding boxes, polygons, and segmentation masks — with AI-assisted auto-annotation, review, and clean dataset export, saving up to 99.7% of manual labelling time.
Labelling one scene by hand takes 997 seconds.
FlyPix AI takes 3.
A single high-resolution scene can hold tens of thousands of objects that each need a box, polygon, or mask and a class label. Annotating them by hand does not scale. FlyPix AI pre-labels every instance with AI-assisted auto-annotation, so your team reviews instead of drawing from scratch.
Annotators draw and tag objects one by one, scene after scene. Labels drift between people, miss small targets, and stall model training for weeks.
Up to 99.7% time saved. Consistent, georeferenced annotations with class labels you can review, correct, and export straight into your training pipeline.
AI-assisted image labelling for training data, without the code.
An annotation tool for machine learning is software that labels objects and regions in imagery — with bounding boxes, polygons, or segmentation masks and class labels — to create the training data that models learn from. FlyPix AI is a no-code platform that uses artificial intelligence to pre-label and annotate satellite, aerial, and drone imagery. You define your classes, let AI-assisted auto-annotation draw the first pass, review and correct the results, and export a clean training dataset — turning weeks of manual labelling into hours of decision-ready data.
Everything you need to annotate imagery for ML
One platform to label, review, and export every object across the imagery you capture — from a single tile to a country-wide training set.
Bounding box annotation
Wrap every object in a precise, georeferenced bounding box for fast detection and counting datasets.
Polygon & segmentation masks
Trace exact object outlines with polygons and pixel-level masks for instance and semantic segmentation.
AI-assisted auto-annotation
Let the AI engine pre-label every instance in one pass, so annotators review and correct instead of drawing from scratch.
Class & attribute labelling
Tag each annotation with classes and attributes — object type, condition, category — to enrich your training data.
Review & QA workflow
Inspect, accept, or fix annotations with a built-in review step that keeps labels consistent across the whole dataset.
Training dataset export
Export clean, georeferenced annotations and vector layers ready for your model training and GIS pipelines.
From raw imagery to training data in four steps
A no-code workflow built so annotators, analysts, and ML teams — not just engineers — can build production-grade training sets.
Upload your imagery
Bring satellite, aerial, or drone captures in any common format — RGB, multispectral, SAR, or LiDAR.
Define your classes
Label a few examples of each object you want to annotate. A handful is enough for the engine to learn.
Auto-annotate & review
FlyPix pre-labels every instance with AI-assisted annotation, then you review, correct, and QA the results.
Export your dataset
Export clean annotations — boxes, polygons, and masks — as a training-ready dataset and vector layers to your GIS.
Annotate any kind of imagery
Training data is not only drawn on true-colour pictures. FlyPix AI annotates across the full range of remote-sensing data — box vehicles in RGB, separate materials with multispectral bands, label targets through cloud and darkness with SAR, and outline structures with LiDAR — all in one workspace.
See all supported formats →Built for every ML team
Annotate the exact objects your models need and build training data tailored to your domain.
Agriculture
Crops, trees & livestock
Mining
Trucks, stockpiles & assets
Urban planning
Buildings & rooftops
Maritime
Ships & vessels
Energy
Panels, poles & turbines
Transport & logistics
Vehicles & containers
Defense & security
Target labelling at scale
Construction
Machinery & site assets
Insurance
Property & asset labels
Mapping & GIS
Feature extraction
Why teams choose FlyPix AI
The platform removes the bottlenecks that slow image annotation: manual drawing, specialist headcount, inconsistent labels, and tooling that cannot keep pace with new captures.
Annotation in seconds
Pre-label thousands of objects across a full scene in seconds instead of hours of manual drawing — and repeat it on every new capture.
A true no-code platform
Annotators and analysts label and export training data on their own imagery — no programming, no data-science team, no vendor queue.
Consistent, audited labels
AI-assisted pre-labelling plus a built-in review step keep annotations consistent and audit-ready across millions of objects.
Scales to any dataset
Label a single tile or annotate an entire region at the cadence your model training 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 training data.
Create an account and auto-annotate your first scene in minutes — no credit card, no code. Want help scoping your labelling workflow? Our geospatial team will set it up with you.
Image annotation for machine learning, answered
The questions annotators, analysts, and ML teams ask before switching to AI-assisted image labelling.
What is an annotation tool for machine learning?
Do I need coding or GIS expertise to use FlyPix AI?
What types of image annotation does FlyPix AI support?
How does AI-assisted auto-annotation work?
Can I export annotations as a training dataset?
How much time can FlyPix AI save versus manual annotation?
Can I try FlyPix AI on my own imagery?
Build the training data your models are missing.
Join 10,000+ users automating image annotation with FlyPix AI. Upload your first scene and watch the AI label, review, and export it in seconds.