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We present a new dataset, Functional Map of the World (fMoW), which aims to inspire the development of machine learning models capable of predicting the functional purpose of buildings and land use from temporal sequences of satellite images and a rich set of metadata features.
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The Pascal Visual Object Classes Challenge: A Retrospective
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A. Karpathy and L. Fei-Fei · 2015
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Imagenet large scale visual recognition challenge
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K. Tang, M. Paluri, L. Fei-Fei, R. Fergus, and L. Bourdev · 2015
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Beyond Short Snippets: Deep Networks for Video Classification
J. Yue-Hei Ng, M. Hausknecht, S. Vijayanarasimhan, O. Vinyals, R. Monga, and G. Toderici · 2015
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Jointly Modeling Embedding and Translation to Bridge Video and Language
Y. Pan, T. Mei, T. Yao, H. Li, and Y. Rui · 2016
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Matterport3D: Learning from RGB-D Data in Indoor Environments
A. Chang, A. Dai, T. Funkhouser, M. Halber, M. Nießner, M. Savva, S. Song, A. Zeng, and Y. Zhang · 2017
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Densely Connected Convolutional Networks
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S. Abu-El-Haija, N. Kothari, J. Lee, P. Natsev, G. Toderici, B. Varadarajan, and S. Vijayanarasimhan · 2016
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SpaceNet
N. DigitalGlobe, CosmiQ Works · 2016
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Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Combining Satellite Imagery and Machine Learning to Predict Poverty
N. Jean, M. Burke, M. Xie, W. M. Davis, D. B. Lobell, and S. Ermon · 2016
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D. Marmanis, M. Datcu, T. Esch, and U. Stilla · 2016
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http://www2.isprs.org/commissions/comm3/wg4/semantic-labeling.html
ISPRS 2D Semantic Labeling Contest
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Openimages: A public dataset for large-scale multi-label and multi-class image classification
I. Krasin, T. Duerig, N. Alldrin, V. Ferrari, S. Abu-El-Haija, A. Kuznetsova, H. Rom, J. Uijlings, S. Popov, A. Veit, S. Belongie, V. Gomes, A. Gupta, C. Sun, G. Chechik, D. Cai, Z. Feng, D. Narayanan, and K. Murphy · 2017
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Torontocity: Seeing the world with a million eyes
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AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification
G.-S. Xia, J. Hu, F. Hu, B. Shi, X. Bai, Y. Zhong, L. Zhang, and X. Lu · 2017
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Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
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