CATS (Color and Thermal Stereo Benchmark)

Introduced by Treible et al. in CATS: A Color and Thermal Stereo Benchmark

A dataset consisting of stereo thermal, stereo color, and cross-modality image pairs with high accuracy ground truth (< 2mm) generated from a LiDAR. The authors scanned 100 cluttered indoor and 80 outdoor scenes featuring challenging environments and conditions. CATS contains approximately 1400 images of pedestrians, vehicles, electronics, and other thermally interesting objects in different environmental conditions, including nighttime, daytime, and foggy scenes.

Source: CATS: A Color and Thermal Stereo Benchmark


Paper Code Results Date Stars


Similar Datasets


  • Unknown