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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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# 📸 ImageNet-ES Diverse |
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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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This dataset is introduced in the ICLR 2025 paper: *Adaptive Camera Sensor for Vision Models*. |
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[📄 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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### 🗂️ ImageNet-ES Diverse Strucuture |
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``` |
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ImageNet-ES-Diverse |
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├── es-train (8K) |
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│ └── tin_no_resize_sample_removed |
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│ # 8K original validation samples of Tiny-ImageNet without references in ImageNet-ES |
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├── es-diverse-test (193K) |
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├── auto_exposure (30K) = 1K * 6 environments *5 shots |
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├── 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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### 🎛️ 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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<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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### 🖥️ Download from terminal |
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To download the dataset directly from your terminal using **`wget`:** |
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```bash |
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wget https://huggingface.co/datasets/Edw2n/ImageNet-ES-Diverse/resolve/main/ImageNet-ES-Diverse.zip |
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``` |
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--- |
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### 🔍 More Exploration |
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Visit our paper repository: [🔗 Lens GitHub Repository](https://github.com/Edw2n/Lens) |
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--- |
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### 📜 Citation |
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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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``` |
