We built a capture utility to collect large-scale, labeled image datasets efficiently:
- Python and OpenCV pipelines integrated with AirSim
- Configurable scene spawning and camera paths
- Parallelized I/O and buffering for sustained throughput
Outcome: >700 images per minute with consistent metadata for downstream training.