SomeBottle/imagenet_50_224x224

ImageNet 50 (224x224)

This is a randomly selected subset of ImageNet containing 50 categories, with 1,000 training samples and 100 validation samples per class.
All images have been resized to 224×224 using the CenterCrop method.

• Each class has 50 validation samples taken from the original training set, which do not overlap with the 1,000 selected training samples.

For details on how the dataset was generated, you can refer to the flow.ipynb notebook in the repository.

• The dataset processing was assisted by AI coding.

Structure

imagenet_50_224.zip:

imagenet_50_224/
├── train
│   ├── n01498041
│   │   ├── n01498041_1.jpeg
│   │   └── ...
│   ├── n01629819
│   ...
└── val
    ├── n01498041
    ├── n01629819
    ...

License

This subset inherits the ImageNet license. The original ImageNet dataset is available at http://www.image-net.org/.

Citation

@inproceedings{deng2009imagenet,
  title={Imagenet: A large-scale hierarchical image database},
  author={Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Li, Kai and Fei-Fei, Li},
  booktitle={2009 IEEE conference on computer vision and pattern recognition},
  pages={248--255},
  year={2009},
  organization={IEEE}
}