Drone & Bird
Synthetic Dataset
A comprehensive synthetic dataset with 500k labeled images at 4K resolution. Optimized for drone-bird distinction, classification, and long-range small target scenarios.
See key componentsChallenges
Bird / Drone Distinction
Silhouette similarity, small pixel targets, motion blur challenges in real-world scenarios.
Variable Conditions
Cloudy / clear / partly cloudy; morning–noon–evening; 4-axis sun angle variations.
Angle & Pose
Pitch, yaw, roll; quad/hexa/octa, fixed wing, FPV/mini drone configurations.
Scale & Distance
Close (≤100 m), medium (100–300 m), far (300–600 m) detection ranges.
Partial Visibility
Occlusion, lens glare, atmospheric effects affecting detection accuracy.
Why This Dataset?
Provides defense and security teams with high-diversity, error-free labeled and easily integrable training data for drone detection, classification, and distinction from birds. Reduces real data requirements, expands edge case coverage, and accelerates model development cycles.
Benefits
Reduce real data collection
Train high-performance models with synthetic data using less field data and labeling costs.
Expand coverage
Cover challenging scenarios including rare cases and long-range small targets.
Iterate faster
Perform rapid iterations by generating new datasets without waiting for test/production failures.
Key components
Sensor models
FoV/focal length variations, motion blur & rolling shutter, read noise/ISO, lens flare simulation.
Ground truth labels
Class + bounding box on all images; optional segmentation/mask. 0.1s temporal labels.
Domain gap coverage
HDRI lighting, photometric variants, sun angles & lux diversity, 300–600 m small target simulations.
Variants & diversity
Quad/Hexa/Octa, fixed wing, FPV/mini; medium/large bird classes — type diversity.
Delivery options
HDRI background composites and transparent (alpha) objects; COCO/YOLO/VOC annotations, CSV/Parquet metadata.
Global coverage
Extensive coverage with different backgrounds and scenarios — integration-ready package structure.
Class Distribution
| Class Group | Subtypes | Image Count |
|---|---|---|
| Rotary-wing drones | Quad, Hexa, Octa | 135.000 |
| Fixed-wing drones | Small, Medium, Large | 135.000 |
| FPV / Mini drones | 3 model sets | 135.000 |
| Birds (Medium) | Pigeon, Crow, Magpie | 135.000 |
| Birds (Large) | Eagle, Hawk, Stork | 135.000 |
Reduce real-world data requirements by 90%
In border security, and critical facility protection scenarios, accurate classification of low-visibility small targets is critical for operational decision support. This dataset is suitable for integration into mission software with bird/drone distinction, long-range detection, and time series labels.
Read the case study
Related use cases
Counter-UAS detection & classification
Airspace surveillance
Wildlife/false alarm reduction
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