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πŸ“Έ ImageNet-ES

Unlike conventional robustness benchmarks that rely on digital perturbations, we directly capture 202k images by using a real camera in a controllable testbed. The dataset presents a wide range of covariate shifts caused by variations in light and camera sensor factors. πŸ“„ Read the paper (CVPR 2024)


πŸ—‚οΈ ImageNet-ES Strucuture

ImageNet-ES
β”œβ”€β”€ es-train
β”‚   └── tin_no_resize_sample_removed 
β”‚   # 8K original validation samples of Tiny-ImageNet without references
β”œβ”€β”€ es-val
β”‚   β”œβ”€β”€ auto_exposure # 10K = 1K reference samples * 2 environments * 5 shots
β”‚   β”œβ”€β”€ param_control # 128K = 1K reference samples * 2 environments * 64 shots
β”‚   └── sampled_tin_no_resize # reference samples (1K)
β”œβ”€β”€ es-test
    β”œβ”€β”€ auto_exposure # 10K = 1K reference samples * 2 environments * 5 shots
    β”œβ”€β”€ param_control # 54K = 1K reference samples * 2 environments * 27 shots
    └── sampled_tin_no_resize2 # reference samples (1K)

The main paper and the appendix detail the dataset specifications and present analyses on covariate shifts, robustness evaluations, and qualitative insights.


πŸŽ›οΈ ES-Studio

To compensate the missing perturbations in current robustness benchmarks, we construct a new testbed, ES-Studio (Environment and camera Sensor perturbation Studio). It can control physical light and camera sensor parameters during data collection.


πŸ–₯️ Download from terminal

To download the dataset directly from your terminal using wget:

wget https://huggingface.co/datasets/Edw2n/ImageNet-ES/resolve/main/ImageNet-ES.zip

πŸ” More Exploration

Visit our paper repository: πŸ”— ImageNet-ES GitHub Repository


πŸ“œ Citation

@InProceedings{Baek_2024_CVPR,
    author    = {Baek, Eunsu and Park, Keondo and Kim, Jiyoon and Kim, Hyung-Sin},
    title     = {Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2024},
    pages     = {22294--22303}
}
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