搜集了一下场景识别的一些数据集，不是很全简单记录一下
Places
http://places2.csail.mit.edu/
Places: A 10 million Image Database for Scene Recognition
B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
SUN Datasets
SUN Database: Large-scale Scene Recognition from Abbey to Zoo
CVPR IJCV 2010
http://groups.csail.mit.edu/vision/SUN/
https://vision.princeton.edu/projects/2010/SUN/
899 categories and 130,519 images. We use 397 well-sampled categories to evaluate numerous state-of-the-art algorithms for scene recognition and establish new bounds of performance.
MIT-67
Indoor Scene Recognition
http://web.mit.edu/torralba/www/indoor.html
The database contains 67 Indoor categories, and a total of 15620 images.
A. Quattoni, and A.Torralba. Recognizing Indoor Scenes. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
ADE20K
is a Scene Parsing Benchmark, also contains scene category
http://groups.csail.mit.edu/vision/datasets/ADE20K/
22210 images, The annotated images cover the scene categories from the SUN and Places database.
Scene Parsing through ADE20K Dataset. Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso and Antonio Torralba. Computer Vision and Pattern Recognition (CVPR), 2017
Semantic Understanding of Scenes through ADE20K Dataset. Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso and Antonio Torralba. International Journal on Computer Vision (IJCV)
LSUN
Fisher Yu, Ari Seff, Yinda Zhang, Shuran Song, Thomas Funkhouser and Jianxiong Xiao
Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop, arXiv:1506.03365 [cs.CV], 10 Jun 2015
https://www.yf.io/p/lsun
It contains around one million labeled images for each of 10 scene categories and 20 object categories.
