jongwonryu/MIST-autonomous-driving-dataset

🛣️MIST

Multi-Domain Synthetic Dataset for Rural Driving🌾

🤗 Hugging Face  |  📄 Paper(coming soon)  |  💻 Code(coming soon)

🚗 Simulator (slowroads.io)

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📘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 domain configurations.

🛠️Dataset Generation

MIST was generated using Slowroads (https://slowroads.io), a procedural rural road driving simulator. Images are rendered from a bumper-view camera at 1365 × 911 resolution.

📌 Dataset Status & Upload Plan

This repository is being uploaded incrementally.

✅Current upload

• Image–text pair dataset (train/test) for image-to-image (I2I) translation

  

🔄In progress

• Corresponding segmentation masks are currently being uploaded

  

📅Upcoming

• The full dataset (all splits + remaining annotations) will be released in subsequent updates

Note: The dataset is not yet complete. This README will be updated as additional components become available.