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🛣️MIST
Multi-Domain Synthetic Dataset for Rural Driving🌾
📘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.
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