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While semantic segmentation has seen tremendous improvements in the past, there are still significant labeling efforts necessary and the problem of limited generalization to classes that have not been present during training.
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Ai4mars: A dataset for terrain-aware autonomous driving on mars
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The IRMA code for unique classification of medical images
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Robust medical instrument segmentation challenge 2019
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NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation
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Trashcan: A semantically-segmented dataset towards visual detection of marine debris
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16 - concepts of image fusion in remote sensing applications
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The pascal visual object classes (voc) challenge
Everingham, M., Gool, L. V., Williams, C. K. I., Winn, J. M., and Zisserman, A. (2010) · 2010
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The pascal visual object classes (voc) challenge
Everingham, M., Gool, L. V., Williams, C. K. I., Winn, J. M., and Zisserman, A. (2010) · 2010
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Caltech-UCSD Birds 200
Wah, C., Branson, S., Welinder, P., Perona, P., and Belongie, S. (2011) · 2011
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Caltech-UCSD Birds 200
Wah, C., Branson, S., Welinder, P., Perona, P., and Belongie, S. (2011) · 2011
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ISPRS Potsdam dataset within the ISPRS test project on urban classification, 3D building reconstruction and semantic labeling
BSF Swissphoto (2012) · 2012
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An ensemble classification-based approach applied to retinal blood vessel segmentation
Fraz, M. M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A. R., Owen, C. G., and Barman, S. A. (2012) · 2012
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LandCoverNet: A global benchmark land cover classification training dataset
Alemohammad, H. and Booth, K. (2020) · 2012
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ISPRS Potsdam dataset within the ISPRS test project on urban classification, 3D building reconstruction and semantic labeling
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An ensemble classification-based approach applied to retinal blood vessel segmentation
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Cats and dogs
Parkhi, O. M., Vedaldi, A., Zisserman, A., and Jawahar, C. (2012) · 2012
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A method for taxonomy development and its application in information systems
Nickerson, R. C., Varshney, U., Muntermann, J., and Nickerson, R. C. (2013) · 2013
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OpenSurfaces: A richly annotated catalog of surface appearance
Bell, S., Upchurch, P., Snavely, N., and Bala, K. (2013) · 2013
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Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration
Candemir, S., Jaeger, S., Palaniappan, K., Musco, J. P., Singh, R. K., Xue, Z., Karargyris, A., Antani, S., Thoma, G., and McDonald, C. J. (2013) · 2013
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A method for taxonomy development and its application in information systems
Nickerson, R. C., Varshney, U., Muntermann, J., and Nickerson, R. C. (2013) · 2013
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A crop/weed field image dataset for the evaluation of computer vision based precision agriculture tasks
Haug, S. and Ostermann, J. (2015) · 2014
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The role of context for object detection and semantic segmentation in the wild
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A crop/weed field image dataset for the evaluation of computer vision based precision agriculture tasks
Haug, S. and Ostermann, J. (2015) · 2014
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Microsoft coco: Common objects in context
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., and Zitnick, C. L. (2014) · 2014
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The role of context for object detection and semantic segmentation in the wild
Mottaghi, R., Chen, X., Liu, X., Cho, N.-G., Lee, S.-W., Fidler, S., Urtasun, R., and Yuille, A. (2014) · 2014
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Material recognition in the wild with the materials in context database
Bell, S., Upchurch, P., Snavely, N., and Bala, K. (2015) · 2015
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The cityscapes dataset for semantic urban scene understanding
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Finely-grained annotated datasets for image-based plant phenotyping
Minervini, M., Fischbach, A., Scharr, H., and Tsaftaris, S. A. (2016) · 2016
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The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
Ros, G., Sellart, L., Materzynska, J., Vazquez, D., and Lopez, A. M. (2016) · 2016
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Deep learning convolutional networks for multiphoton microscopy vasculature segmentation
Teikari, P., Santos, M., Poon, C., and Hynynen, K. (2016) · 2016
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Endonet: a deep architecture for recognition tasks on laparoscopic videos
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Multiple-human parsing in the wild
Li, J., Zhao, J., Wei, Y., Lang, C., Li, Y., Sim, T., Yan, S., and Feng, J. (2017) · 2017
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The ciona17 dataset for semantic segmentation of invasive species in a marine aquaculture environment
Galloway, A., Taylor, G. W., Ramsay, A., and Moussa, M. (2017) · 2017
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Satellite imagery feature detection using deep convolutional neural network: A kaggle competition
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Multiple-human parsing in the wild
Li, J., Zhao, J., Wei, Y., Lang, C., Li, Y., Sim, T., Yan, S., and Feng, J. (2017) · 2017
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Underwater optical image processing: a comprehensive review
Lu, H., Li, Y., Zhang, Y., Chen, M., Serikawa, S., and Kim, H. (2017) · 2017
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The mapillary vistas dataset for semantic understanding of street scenes
Neuhold, G., Ollmann, T., Rota Bulo, S., and Kontschieder, P. (2017) · 2017
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Gland segmentation in colon histology images: The glas challenge contest
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Nucleus segmentation across imaging experiments: the 2018 data science bowl
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Deepglobe 2018: A challenge to parse the earth through satellite images
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MVTec D2S: densely segmented supermarket dataset
Follmann, P., Bottger, T., Hartinger, P., Konig, R., and Ulrich, M. (2018) · 2018
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Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts
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Analysis of hand segmentation in the wild
Urooj, A. and Borji, A. (2018) · 2018
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Modanet: A large-scale street fashion dataset with polygon annotations
Zheng, S., Yang, F., Kiapour, M. H., and Piramuthu, R. (2018) · 2018
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Sketchyscene: Richly-annotated scene sketches
Zou, C., Yu, Q., Du, R., Mo, H., Song, Y.-Z., Xiang, T., Gao, C., Chen, B., and Zhang, H. (2018) · 2018
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Zero-shot semantic segmentation
Bucher, M., Vu, T.-H., Cord, M., and Pérez, P. (2019) · 2019
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Deepcrack: A deep hierarchical feature learning architecture for crack segmentation
Liu, Y., Yao, J., Lu, X., Xie, R., and Li, L. (2019) · 2019
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Pytorch: An imperative style, high-performance deep learning library
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Guided curriculum model adaptation and uncertainty-aware evaluation for semantic nighttime image segmentation
Sakaridis, C., Dai, D., and Gool, L. V. (2019) · 2019
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iSAID: A large-scale dataset for instance segmentation in aerial images
Waqas Zamir, S., Arora, A., Gupta, A., Khan, S., Sun, G., Shahbaz Khan, F., Zhu, F., Shao, L., Xia, G.-S., and Bai, X. (2019) · 2019
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Detectron2
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Semantic understanding of scenes through the ADE20K dataset
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A deep learning-based approach for high-throughput hypocotyl phenotyping
Dobos, O., Horvath, P., Nagy, F., Danka, T., and Viczián, A. (2019) · 2019
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Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images
Ge, Y., Zhang, R., Wang, X., Tang, X., and Luo, P. (2019) · 2019
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Neural control of fasting-induced torpor in mice
Hitrec, T., Luppi, M., Bastianini, S., Squarcio, F., Berteotti, C., Lo Martire, V., Martelli, D., Occhinegro, A., Tupone, D., Zoccoli, G., et al. (2019) · 2019
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Semantic Terrain Segmentation with an Original RGB Data Set, Targeting Elevation Differences
Hosseinpoor, S. (2019) · 2019
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Semantic Drone Dataset
Institute of Computer Graphics and Vision (2019) · 2019
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Anabranch network for camouflaged object segmentation
Le, T.-N., Nguyen, T. V., Nie, Z., Tran, M.-T., and Sugimoto, A. (2019) · 2019
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Deepcrack: A deep hierarchical feature learning architecture for crack segmentation
Liu, Y., Yao, J., Lu, X., Xie, R., and Li, L. (2019) · 2019
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Guided curriculum model adaptation and uncertainty-aware evaluation for semantic nighttime image segmentation
Sakaridis, C., Dai, D., and Gool, L. V. (2019) · 2019
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Embrapa Wine Grape Instance Segmentation Dataset–Embrapa WGISD
Santos, T., de Souza, L., dos Santos, A., and Sandra, A. (2019) · 2019
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Severstal: Steel Defect Detection
Severstal (2019) · 2019
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WorkingHands: A hand-tool assembly dataset for image segmentation and activity mining
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Xu, M., Zhang, Z., Wei, F., Lin, Y., Cao, Y., Hu, H., and Bai, X. (2021) · 2021
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Bayesian particle instance segmentation for electron microscopy image quantification
Yildirim, B. and Cole, J. M. (2021) · 2021
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Zheng, S., Lu, J., Zhao, H., Zhu, X., Luo, Z., Wang, Y., Fu, Y., Feng, J., Xiang, T., Torr, P. H., et al. (2021) · 2021
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Zerowaste dataset: Towards deformable object segmentation in cluttered scenes
Bashkirova, D., Abdelfattah, M., Zhu, Z., Akl, J., Alladkani, F., Hu, P., Ablavsky, V., Calli, B., Bargal, S. A., and Saenko, K. (2022) · 2022
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Shilkrot13, R., Narasimhaswamy, S., Vazir, S., and Hoai12, M. (2019) · 2019
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iSAID: A large-scale dataset for instance segmentation in aerial images
Waqas Zamir, S., Arora, A., Gupta, A., Khan, S., Sun, G., Shahbaz Khan, F., Zhu, F., Shao, L., Xia, G.-S., and Bai, X. (2019) · 2019
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Woodscape: A multi-task, multi-camera fisheye dataset for autonomous driving
Yogamani, S., Hughes, C., Horgan, J., Sistu, G., Varley, P., O’Dea, D., Uricár, M., Milz, S., Simon, M., Amende, K., et al. (2019) · 2019
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Railsem19: A dataset for semantic rail scene understanding
Zendel, O., Murschitz, M., Zeilinger, M., Steininger, D., Abbasi, S., and Beleznai, C. (2019) · 2019
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Semantic understanding of scenes through the ADE20K dataset
Zhou, B., Zhao, H., Puig, X., Xiao, T., Fidler, S., Barriuso, A., and Torralba, A. (2019) · 2019
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Semantic segmentation of underwater imagery: Dataset and benchmark
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Semantic segmentation in art paintings
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Atlantis: A benchmark for semantic segmentation of waterbody images
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Scaling open-vocabulary image segmentation with image-level labels
Ghiasi, G., Gu, X., Cui, Y., and Lin, T.-Y. (2022) · 2022
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Li, B., Weinberger, K. Q., Belongie, S., Koltun, V., and Ranftl, R. (2022) · 2022
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Holistic evaluation of language models
Liang, P., Bommasani, R., Lee, T., Tsipras, D., Soylu, D., Yasunaga, M., Zhang, Y., Narayanan, D., Wu, Y., Kumar, A., et al. (2022) · 2022
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Open vocabulary semantic segmentation with patch aligned contrastive learning
Mukhoti, J., Lin, T.-Y., Poursaeed, O., Wang, R., Shah, A., Torr, P. H., and Lim, S.-N. (2022) · 2022
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DenseCLIP: Language-guided dense prediction with context-aware prompting
Rao, Y., Zhao, W., Chen, G., Tang, Y., Zhu, Z., Huang, G., Zhou, J., and Lu, J. (2022) · 2022
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Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
Seibold, C., Reiß, S., Sarfraz, S., Fink, M. A., Mayer, V., Sellner, J., Kim, M. S., Maier-Hein, K. H., Kleesiek, J., and Stiefelhagen, R. (2022) · 2022
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Reviving iterative training with mask guidance for interactive segmentation
Sofiiuk, K., Petrov, I. A., and Konushin, A. (2022) · 2022
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Groupvit: Semantic segmentation emerges from text supervision
Xu, J., De Mello, S., Liu, S., Byeon, W., Breuel, T., Kautz, J., and Wang, X. (2022) · 2022
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Unified contrastive learning in image-text-label space
Yang, J., Li, C., Zhang, P., Xiao, B., Liu, C., Yuan, L., and Gao, J. (2022) · 2022
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Deep learning based automated detection of intraretinal cystoid fluid
Ahmed, Z., Panhwar, S. Q., Baqai, A., Umrani, F. A., Ahmed, M., and Khan, A. (2022) · 2022
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Ensemble Deep Learning for Automated Dust Storm Detection Using Satellite Images
Bandara, N. (2022) · 2022
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Zerowaste dataset: Towards deformable object segmentation in cluttered scenes
Bashkirova, D., Abdelfattah, M., Zhu, Z., Akl, J., Alladkani, F., Hu, P., Ablavsky, V., Calli, B., Bargal, S. A., and Saenko, K. (2022) · 2022
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Normtoraw: A style transfer based self-supervised learning approach for nuclei segmentation
Chen, X., Zhong, X., Li, T., An, Y., and Mo, L. (2022) · 2022
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Roboflow 100: A rich, multi-domain object detection benchmark
Ciaglia, F., Zuppichini, F. S., Guerrie, P., McQuade, M., and Solawetz, J. (2022) · 2022
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Semantic segmentation in art paintings
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Atlantis: A benchmark for semantic segmentation of waterbody images
Erfani, S. M. H., Wu, Z., Wu, X., Wang, S., and Goharian, E. (2022) · 2022
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Scaling open-vocabulary image segmentation with image-level labels
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A Hyperspectral and RGB Dataset for Building Facade Segmentation
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SOCRATES: Introducing Depth in Visual Wildlife Monitoring Using Stereo Vision
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3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D
Mayer, K., Rausch, B., Arlt, M.-L., Gust, G., Wang, Z., Neumann, D., and Rajagopal, R. (2022) · 2022
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HR-GLDD: A globally distributed dataset using generalized DL for rapid landslide mapping on HR satellite imagery
Meena, S. R., Nava, L., Bhuyan, K., Puliero, S., Soares, L. P., Dias, H. C., Floris, M., and Catani, F. (2022) · 2022
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Mtneuro: A benchmark for evaluating representations of brain structure across multiple levels of abstraction
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Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
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Cnn-based approaches for weed detection
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A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing
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CAT-Seg: Cost aggregation for open-vocabulary semantic segmentation
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