K-vecDataset

UAV imagery presents unique challenges that make accurate object detection and labeling difficult. The eagle-eye view, cluttered and complex background, and high altitude create obstacles that traditional computer vision approaches struggle to overcome. Manual labeling, while accurate, is extremely time-consuming and expensive. Meanwhile existing automated models, mostly trained on ground-level images struggle to generalize to UAV imagery, especially when it comes to spotting small objects.