Object Detection Dataset Development

Image Acquisition: Raw images captured on terrains similar to the competition site, under various altitudes and lighting conditions, were categorized. Labeling: Targets within the collected images were meticulously annotated in the appropriate format (YOLO) for object detection algorithms. Data Diversity: Data from different angles and color spectrums were integrated into the set to improve the model's generalization capability.