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Existing Earth Vision datasets are either suitable for semantic segmentation or object detection.
Learning spatial context: Using stuff to find things
G. Heitz and D. Koller · 2008
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ImageNet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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Building development monitoring in multitemporal remotely sensed image pairs with stochastic birth-death dynamics
C. Benedek, X. Descombes, and J. Zerubia · 2012
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Indoor segmentation and support inference from RGBD images
P. K. Nathan Silberman, Derek Hoiem and R. Fergus · 2012
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Microsoft COCO: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Learning deep features for scene recognition using places database
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Orientation robust object detection in aerial images using deep convolutional neural network
H. Zhu, X. Chen, W. Dai, K. Fu, Q. Ye, and J. Jiao · 2015
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Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images
G. Cheng, P. Zhou, and J. Han · 2016
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The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 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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SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
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Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds
Z. Liu, H. Wang, L. Weng, and Y. Yang · 2016
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A large contextual dataset for classification, detection and counting of cars with deep learning
T. N. Mundhenk, G. Konjevod, W. A. Sakla, and K. Boakye · 2016
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Vehicle detection in aerial imagery: A small target detection benchmark
S. Razakarivony and F. Jurie · 2016
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A benchmark for building footprint classification using orthorectified RGB imagery and digital surface models from commercial satellites
Scene parsing through ade20k dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2017
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Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification
R. M. Anwer, F. S. Khan, J. van de Weijer, M. Molinier, and J. Laaksonen · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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A guide to convolutional neural networks for computer vision
S. Khan, H. Rahmani, S. A. A. Shah, and M. Bennamoun · 2018
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xView: Objects in context in overhead imagery
D. Lam, R. Kuzma, K. McGee, S. Dooley, M. Laielli, M. Klaric, Y. Bulatov, and B. McCord · 2018
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Path aggregation network for instance segmentation
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H. Goldberg, M. Brown, and S. Wang · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Forest change detection in incomplete satellite images with deep neural networks
S. H. Khan, X. He, F. Porikli, and M. Bennamoun · 2017
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Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark
E. Maggiori, Y. Tarabalka, G. Charpiat, and P. Alliez · 2017
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YOLO9000: better, faster, stronger
J. Redmon and A. Farhadi · 2017
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Mass processing of sentinel-1 images for maritime surveillance
C. Santamaria, M. Alvarez, H. Greidanus, V. Syrris, P. Soille, and P. Argentieri · 2017
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Inception-v4, inception-ResNet and the impact of residual connections on learning
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. A. Alemi · 2017
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S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia · 2018
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Land cover mapping at very high resolution with rotation equivariant cnns: Towards small yet accurate models
D. Marcos, M. Volpi, B. Kellenberger, and D. Tuia · 2018
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DOTA: A large-scale dataset for object detection in aerial images
G.-S. Xia, X. Bai, J. Ding, Z. Zhu, S. Belongie, J. Luo, M. Datcu, M. Pelillo, and L. Zhang · 2018
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https://www.kaggle.com/c/airbus-ship-detection/ , 2018
Dataset for airbus ship dectection challenge · 2019
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Striking the right balance with uncertainty
S. Khan, M. Hayat, S. W. Zamir, J. Shen, and L. Shao · 2019
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SpaceNet MVOI: a multi-view overhead imagery dataset
N. Weir, D. Lindenbaum, A. Bastidas, A. Van Etten, S. McPherson, J. Shermeyer, V. Kumar, and H. Tang · 2019
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