Middlebury 2005 is a stereo dataset of indoor scenes.
9 PAPERS • NO BENCHMARKS YET
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.
8 PAPERS • 2 BENCHMARKS
iCubWorld datasets are collections of images recording the visual experience of iCub while observing objects in its typical environment, a laboratory or an office. The acquisition setting is devised to allow a natural human-robot interaction, where a teacher verbally provides the label of the object of interest and shows it to the robot, by holding it in the hand; the iCub can either track the object while the teacher moves it, or take it in its hand.
5 PAPERS • NO BENCHMARKS YET
The Middlebury 2006 is a stereo dataset of indoor scenes with multiple handcrafted layouts.
The Middlebury 2001 is a stereo dataset of indoor scenes with multiple handcrafted layouts.
4 PAPERS • NO BENCHMARKS YET
The dataset consists of 1024 x 1024 bitmap (.bmp) images, each containing a 16 x 16 array of image patches. Each patch is sampled as 64x64 grayscale, with a canonical scale and orientation. For details of how the scale and orientation is established, please see the paper.
0 PAPER • NO BENCHMARKS YET