Update README.md

README.md

@@ -1,3 +1,63 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+task_categories:
+- image-classification
+language:
+- en
+tags:
+- benchmark
+- image-classification
+- out-of-distribution
+- robustness
+- sensor-control
+- light-control
+- real-photo
+size_categories:
+- 10K<n<100K
+---
+
+# 📸 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.**
+ [📄 Read the paper (CVPR 2024)](https://openaccess.thecvf.com/content/CVPR2024/html/Baek_Unexplored_Faces_of_Robustness_and_Out-of-Distribution_Covariate_Shifts_in_Environment_CVPR_2024_paper.html)
+<img align="center" src="https://raw.githubusercontent.com/Edw2n/ImageNet-ES/main/supples/ImageNet-ES.jpg" width="800">
+
+### 🗂️ ImageNet-ES Strucuture
+```
+ImageNet-ES
+├── es-train
+│   └── tin_no_resize_sample_removed 
+│   # 8K original validation samples of Tiny-ImageNet without references
+├── es-val
+│   ├── auto_exposure # 10K = 1K reference samples * 2 environments * 5 shots
+│   ├── param_control # 128K = 1K reference samples * 2 environments * 64 shots
+│   └── sampled_tin_no_resize # reference samples (1K)
+├── es-test
+    ├── auto_exposure # 10K = 1K reference samples * 2 environments * 5 shots
+    ├── param_control # 54K = 1K reference samples * 2 environments * 27 shots
+    └── sampled_tin_no_resize2 # reference samples (1K)
+```
+The main paper and the appendix explain more details about dataset specification. 
+
+### 🎛️ ES-Studio
+To compensate the missing perturbations in current robustness benchmarks, we construct a new testbed, **ES-Studio** (**E**nvironment and camera **S**ensor perturbation **Studio**). It can control physical light and camera sensor parameters during data collection. 
+
+<img align="center" src="https://raw.githubusercontent.com/Edw2n/ImageNet-ES/main/supples/Testbed.png" width="800">
+<img align="center" src="https://raw.githubusercontent.com/Edw2n/ImageNet-ES/main/supples/Testbed_actual.jpg" width="800">
+
+### Download (will be updated)
+
+### 🔍 More Exploration
+Visit our paper repository: [🔗 ImageNet-ES GitHub Repository](https://github.com/Edw2n/ImageNet-ES)
+
+### 📜 Citation
+
+```bibtex
+@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}
+}
+```