3 datasets found

Groups: Computer Vision Organizations: No Organization Formats: JSON

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  • MNIST-C

    The MNIST-C dataset is a comprehensive suite of different corruptions applied to the MNIST dataset, for benchmarking out-of-distribution robustness in computer vision.

  • KITTI-C

    The KITTI-C dataset is a robustness benchmark for outdoor monocular depth estimation under data corruptions.

  • CIFAR-10-C and CIFAR-100-C

    CIFAR-10-C and CIFAR-100-C are robustness benchmarks consisting of 19 corruptions types with five levels of severities.