{"url":"/dataset/muad","name":"MUAD","full_name":"Multiple Uncertainties for Autonomous Driving","description_markdown":"The MUAD dataset (Multiple Uncertainties for Autonomous Driving), consisting of 10,413 realistic synthetic images with diverse adverse weather conditions (night, fog, rain, snow), out-of-distribution objects, and annotations for semantic segmentation, depth estimation, object, and instance detection. Predictive uncertainty estimation is essential for the safe deployment of Deep Neural Networks in real-world autonomous systems and MUAD allows to a better assess the impact of different sources of uncertainty on model performance.","description_withheld":null,"homepage":"https://muad-dataset.github.io/","introduced_date":"2022-10-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/muad-multiple-uncertainties-for-autonomous","title":"MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks","first_author":"Gianni Franchi","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Environment","url":"/datasets/modality/environment"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Monocular Depth Estimation","url":"/task/monocular-depth-estimation","datasets_with_task":"/datasets/task/monocular-depth-estimation"},{"name":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"},{"name":"Out of Distribution (OOD) Detection","url":"/task/ood-detection","datasets_with_task":"/datasets/task/ood-detection"},{"name":"Depth Aleatoric Uncertainty Estimation","url":"/task/depth-aleatoric-uncertainty-estimation","datasets_with_task":"/datasets/task/depth-aleatoric-uncertainty-estimation"},{"name":"Decision Making Under Uncertainty","url":"/task/decision-making-under-uncertainty","datasets_with_task":"/datasets/task/decision-making-under-uncertainty"},{"name":"Uncertainty Visualization","url":"/task/uncertainty-visualization","datasets_with_task":"/datasets/task/uncertainty-visualization"},{"name":"Uncertainty Quantification","url":"/task/uncertainty-quantification","datasets_with_task":"/datasets/task/uncertainty-quantification"}],"languages":[],"variants":["MUAD"],"data_loaders":[{"repo":"https://github.com/ENSTA-U2IS-AI/torch-uncertainty","url":"https://torch-uncertainty.github.io/","frameworks":["pytorch"]}],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}