SkyFinder Dataset

This dataset consists of images from 53 AMOS webcams (https://mvrl.github.io/AMOS). The image sequences were selected so that they were stable so that a single sky/ground mask could be used for all images in a given camera. <strong>Contents</strong> [integer camera ID].zip : contains images from each camera skyfinder_masks.zip : contains the sky/ground masks <strong>Additional Links</strong> Project Webpage: https://cs.valdosta.edu/~rpmihail/skyfinder/ Another Dataset Summary: https://mvrl.github.io/SkyFinder <strong>Citation</strong> If you use this dataset, please cite the following paper: Mihail RP, Workman S, Bessinger Z, Jacobs N. 2016. Sky Segmentation in the Wild: An Empirical Study. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 1–6. DOI: 10.1109/WACV.2016.7477637. @inproceedings{mihail2016sky,<br> author = {Mihail, Radu Paul and Workman, Scott and Bessinger, Zach and Jacobs, Nathan},<br> booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},<br> pages = {1--6},<br> doi = {10.1109/WACV.2016.7477637},<br> title = {Sky Segmentation in the Wild: An Empirical Study},<br> year = {2016}<br> }