Multi-modal versatility
Combine drone, satellite, and LiDAR imagery in one project to track fields from canopy to soil.
Agriculture
Bring computer vision to every field.
A professional platform for annotating agricultural imagery from drones, satellites, and LiDAR into precise, ML-ready training datasets.
Applications
Crop health monitoring
Detect disease, nutrient deficiency, and stress early from annotated aerial data to improve yield and cut losses.
Technical edge
AI-powered automation
Auto-label repeating patterns like crop rows and plots, then interpolate them across time-series captures.
Quality control
Automated checks and expert review catch misclassified crops and missed stress zones before the dataset reaches your model.
Collaborative workflow
Share seasonal, high-volume labeling across annotators and reviewers, each with the right permissions.
Customization & integration
Define custom classes for crops, weeds, and field conditions, then export to your agronomy or ML pipeline.
Enterprise-grade security
Keep proprietary yield and field data private, with on-premise deployment available.
Annotation types
Bounding box
Rectangular boxes for detecting and classifying crops, machinery, livestock, and field objects in aerial and ground imagery.
Oriented bounding box
Rotated rectangles that capture crop rows, machinery alignment, and angled field objects.
Polygon
Flexible shapes that outline fields, crop zones, irrigation areas, and natural features like ponds or tree clusters.
Lines & multilines
Trace irrigation systems, crop rows, drainage channels, and field boundaries.
Cuboid
3D boxes that estimate the volume and position of crops, greenhouses, machinery, or storage.
3D point cloud
Label LiDAR and drone data to model terrain, crop density, and field variability for precision farming.
Semantic segmentation
Pixel-level classification of farmland into crops, soil, weeds, water, and infrastructure.
Instance segmentation
Pixel-wise separation of individual plants or fruits in the same class for precise counting.
Bitmap
Precise masks for complex shapes like dense vegetation, overlapping crops, and irregular field edges.
Mesh
3D surface reconstruction for digital twins of farmland, terrain, and agricultural infrastructure.
Custom
A mix of annotation methods shaped around your specific crop or field-analysis task.
Put your agriculture data to work
Book a demo and we'll scope your farm dataset with you.
Custom solution? hello@keylabs.ai
