Visible-Infrared Artificial Camouflage Dataset

To promote the development of camouflaged object detection technology, an visible-infrared artificial camouflage dataset (VIAC) is constructed. To simulate and replicate real-world scenarios, we customize and procure a set of metal models and camouflage materials to construct artificial camouflage environments. Utilizing DJI drones equipped with a dual-mode (visible and infrared) imaging system, we conduct coordinated aerial photography in complex outdoor settings, thereby comprehensively acquiring 1,500 pairs of high-quality visible and infrared images. After data alignment and professional annotation, the VIAC dataset is formed. This dataset contains 9 challenges, namely big camouflaged object (BCO), small camouflaged object (SCO), multiple camouflaged objects (MCO), center bias (CB), out-of-view (OV), occlusions(OC), thermal crossover (TC), image clutter (IC), and low illumination (LI).