edw2n/ImageNet-ES-Diverse
๐ธ ImageNet-ES Diverse 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 by introducing more diverse and realistic covariate shifts for robustness evaluation. This dataset is introduced in the ICLR 2025 paper: Adaptive Camera Sensor for Vision Models.๐ Read the paper (ICLR 2025)โฆ See the full description on the dataset page: https://huggingface.co/datasets/edw2n/ImageNet-ES-Diverse.
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