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ImageClustering

  • Number of tasks: 5

CIFAR100Clustering

Clustering images from 100 classes.

Dataset: uoft-cs/cifar100 • License: not specified • Learn more →

Task category Score Languages Domains Annotations Creators Sample Creation
image to text (i2t) nmi eng Web derived created
Citation 
@techreport{Krizhevsky09learningmultiple,
  author = {Alex Krizhevsky},
  institution = {},
  title = {Learning multiple layers of features from tiny images},
  year = {2009},
}

CIFAR10Clustering

Clustering images from 10 classes.

Dataset: uoft-cs/cifar10 • License: not specified • Learn more →

Task category Score Languages Domains Annotations Creators Sample Creation
image to category (i2c) nmi eng Web derived created
Citation 
@techreport{Krizhevsky09learningmultiple,
  author = {Alex Krizhevsky},
  institution = {},
  title = {Learning multiple layers of features from tiny images},
  year = {2009},
}

ImageNet10Clustering

Clustering images from an 10-class subset of ImageNet which are generally easy to distinguish.

Dataset: JamieSJS/imagenet-10 • License: not specified • Learn more →

Task category Score Languages Domains Annotations Creators Sample Creation
image to text (i2t) nmi eng Web derived created
Citation 
@inproceedings{5206848,
  author = {Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Kai Li and Li Fei-Fei},
  booktitle = {2009 IEEE Conference on Computer Vision and Pattern Recognition},
  doi = {10.1109/CVPR.2009.5206848},
  keywords = {Large-scale systems;Image databases;Explosions;Internet;Robustness;Information retrieval;Image retrieval;Multimedia databases;Ontologies;Spine},
  number = {},
  pages = {248-255},
  title = {ImageNet: A large-scale hierarchical image database},
  volume = {},
  year = {2009},
}

ImageNetDog15Clustering

Clustering images from a 15-class dogs-only subset of the dog classes in ImageNet.

Dataset: JamieSJS/imagenet-dog-15 • License: not specified • Learn more →

Task category Score Languages Domains Annotations Creators Sample Creation
image to category (i2c) nmi eng Web derived created
Citation 
@inproceedings{5206848,
  author = {Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Kai Li and Li Fei-Fei},
  booktitle = {2009 IEEE Conference on Computer Vision and Pattern Recognition},
  doi = {10.1109/CVPR.2009.5206848},
  keywords = {Large-scale systems;Image databases;Explosions;Internet;Robustness;Information retrieval;Image retrieval;Multimedia databases;Ontologies;Spine},
  number = {},
  pages = {248-255},
  title = {ImageNet: A large-scale hierarchical image database},
  volume = {},
  year = {2009},
}

TinyImageNetClustering

Clustering over 200 classes.

Dataset: zh-plus/tiny-imagenet • License: not specified • Learn more →

Task category Score Languages Domains Annotations Creators Sample Creation
image to category (i2c) nmi eng Reviews derived found