Dataset · Hugging Face

jongwonryu/MIST-autonomous-driving-dataset

Name: MIST-autonomous-driving-dataset
Creator: jongwonryu
License: apache-2.0
Keywords: task_categories:image-to-image, task_categories:image-segmentation, task_categories:robotics, task_ids:semantic-segmentation, language:en, license:apache-2.0, size_categories:10K<n<100K, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant

🛣️MIST Multi-Domain Synthetic Dataset for Rural Driving🌾 🤗 Hugging Face  |  📄 Paper(coming soon)  |  💻 Code(coming soon) 🚗 Simulator (slowroads.io) 📘Dataset Introduction MIST is a large-scale multi-domain synthetic dataset designed for rural driving scenarios. It provides explicitly structured domain factors—season, time of day, and weather—forming 32 balanced… See the full description on the dataset page: https://huggingface.co/datasets/jongwonryu/MIST-autonomous-driving-dataset.

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Author / organization	jongwonryu
License (as declared)	apache-2.0
Downloads	685 (as reported by Hugging Face)
Likes	2
Created	5 January 2026
Last updated at source	4 February 2026

drivingautonomous-drivingdriving-datasetself-drivingruralsynthetic-datasimulationcomputer-visionimage-to-imageimage translationdomain-adaptationweathertime-of-dayseasondriving-simulatorautonomous-vehiclesroad-scenesoutdoorsim-to-realdomain-generalizationdata-augmentationperceptionscene-understandingvisual-perception

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16 Oct 2026 Description: 🛣️MIST Multi-Domain Synthetic Dataset for Rural Driving🌾 🤗 Hugging Face | 📄 Paper(coming soon) | 💻 Code(coming soon) 🚗 Simulator (slowroads.io) 📘Dataset Introduction MIST is a large-scale multi-domain synthetic dataset designed for r → 🛣️MIST Multi-Domain Synthetic Dataset for Rural Driving🌾 🤗 Hugging Face  |  📄 Paper(coming soon)  |  💻 Code(coming soon) 🚗 Simulator (slowroads.io) 📘Dataset Introduction MIST is a large-scale multi-domain syntheti

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