Single-frame InfraRed Small Target-V2

This dataset is from One-Stage Cascade Refinement Networks for Infrared Small Target Detection. It includes 427 infrared images and 480 targets (due to the lack of infrared sequences, SIRST also contains infrared images at a wavelength of 950 nm, in addition to shortwave and midwave infrared images). Approximately 90% of the images contain only one target, while about 10% have multiple targets (which may be overlooked in sparse/significant methods due to global unique assumptions). Around 55% of the target area occupies less than 0.02% (i.e., in a 300x300 image, the target pixel size is 3x3). Only 35% of the targets have the highest brightness in the entire image. Considering that 65% of the targets have brightness levels very similar to or even darker than the background, we cautiously employ the target saliency assumption. We use this dataset for research on infrared small targets and propose a lightweight detection algorithm for single-frame infrared small targets.