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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-classification
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+ language:
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+ - en
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+ tags:
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+ - benchmark
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+ - image-classification
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+ - out-of-distribution
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+ - robustness
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+ - sensor-control
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+ - light-control
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+ - real-photo
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+
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+ # πŸ“Έ ImageNet-ES Diverse
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+
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+ **ImageNet-ES Diverse** is a benchmark dataset of **192,000 real-world images** captured with a physical camera in a controlled testbed (ES-Studio Diverse), under various sensor parameters and lighting conditions. It complements the original [ImageNet-ES](https://huggingface.co/datasets/Edw2n/ImageNet-ES) by introducing more diverse and realistic covariate shifts for robustness evaluation.
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+
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+ This dataset is introduced in the ICLR 2025 paper: *Adaptive Camera Sensor for Vision Models*.
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+ [πŸ“„ Read the paper (ICLR 2025)](https://openreview.net/pdf?id=He2FGdmsas)
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+ <img align="center" src="https://raw.githubusercontent.com/Edw2n/Lens/main/ImageNet-ES-Diverse-example.png" width="800">
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+
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+ ---
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+ ### πŸ—‚οΈ ImageNet-ES Diverse Strucuture
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+ ```
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+ ImageNet-ES-Diverse
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+ β”œβ”€β”€ es-train (8K)
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+ β”‚ └── tin_no_resize_sample_removed
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+ β”‚ # 8K original validation samples of Tiny-ImageNet without references in ImageNet-ES
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+ β”œβ”€β”€ es-diverse-test (193K)
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+ β”œβ”€β”€ auto_exposure (30K) = 1K * 6 environments *5 shots
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+ β”œβ”€β”€ param_control (162K) = 1K * 6 environments *27 shots
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+ └── sampled_tin_no_resize2 # reference samples (1K)
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+ ```
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+ The main paper and the appendix detail the dataset specifications and present analyses on adaptive sensing and qualitative insights.
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+
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+ ---
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+ ### πŸŽ›οΈ ES-Studio Diverse
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+ To address the limitations of existing robustness benchmarks, including *ImageNet-ES*, we customized *ES-Studio* into *ES-Studio Diverse* by replacing the reference display with printed images captured from a screen. While maintaining control over lighting and sensor parameters as in *ES-Studio*, this customized setup and broader lighting variations enable the collection of data that is complementary to *ImageNet-ES*.
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+
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+
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+ <img align="center" src="https://raw.githubusercontent.com/Edw2n/Lens/main/ES-Studio-Diverse.png" width="400">
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+ <img align="center" src="https://raw.githubusercontent.com/Edw2n/Lens/main/testbed-diverse-actual-.png" width="400">
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+
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+ ---
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+ ### Download (will be updated)
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+
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+ ---
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+ ### πŸ” More Exploration
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+ Visit our paper repository: [πŸ”— Lens GitHub Repository](https://github.com/Edw2n/Lens)
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+
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+ ---
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+ ### πŸ“œ Citation
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+
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+ ```bibtex
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+ @inproceedings{
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+ baek2025adaptive,
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+ title={Adaptive Camera Sensor for Vision Models},
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+ author={Eunsu Baek and Sung-hwan Han and Taesik Gong and Hyung-Sin Kim},
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+ booktitle={The Thirteenth International Conference on Learning Representations},
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+ year={2025},
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+ url={https://openreview.net/forum?id=He2FGdmsas}
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+ }
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+ ```