README.md

---
license: apache-2.0

language:
- en

tags:
- driving
- autonomous-driving
- driving-dataset
- self-driving
- rural
- synthetic-data
- simulation
- computer-vision
- image-to-image
- image translation
- domain-adaptation
- weather
- time-of-day
- season
- driving-simulator
- autonomous-vehicles
- road-scenes
- outdoor
- sim-to-real
- domain-generalization
- data-augmentation
- perception
- scene-understanding
- visual-perception
- multi-domain
- environmental-conditions

task_categories:
- image-to-image
- image-segmentation
- robotics

task_ids:
- semantic-segmentation

dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 75626482624
      num_examples: 32000
    - name: test
      num_bytes: 6858464768
      num_examples: 3200
  download_size: 73104160837
  dataset_size: 82484947392

configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

<div align="center">
  <!-- 1️⃣ Hero image -->
  <img
    src="https://cdn-uploads.huggingface.co/production/uploads/6510f03888cdfe73a89a4bd6/KVt3wsGvHbBMxWZd0rmFG.png"
    alt="MIST"
    width="700"
  />

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  <h1 style="margin: 18px 0 6px; font-size: 50px;">
    🛣️MIST
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  <p style="margin: 0 0 14px; font-size: 30px; color: #666;">
    Multi-Domain Synthetic Dataset for Rural Driving🌾
  </p>

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  <p style="margin: 0 0 18px; font-size: 16px;">
    <a href="https://huggingface.co/datasets/jongwonryu/MIST_dataset">🤗 Hugging Face</a>
    &nbsp;|&nbsp;
    <a href="PAPER_URL">📄 Paper(coming soon)</a>
    &nbsp;|&nbsp;
    <a href="CODE_URL">💻 Code(coming soon)</a>
  </p>

  <!-- 5️⃣ Secondary buttons -->
  <p style="margin: 0 0 10px;">
    <a
      href="https://slowroads.io"
      style="display:inline-block;padding:10px 16px;border:1px solid #ddd;border-radius:12px;text-decoration:none;font-size:15px;"
    >🚗 Simulator (slowroads.io)</a>
    <!-- &nbsp;
    <a
      href="GITHUB_URL"
      style="display:inline-block;padding:10px 16px;border:1px solid #ddd;border-radius:12px;text-decoration:none;font-size:15px;"
    >GitHub(coming soon)</a> -->
  </p>
</div>

<hr/>


## 📘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



  <img
    src="https://cdn-uploads.huggingface.co/production/uploads/6510f03888cdfe73a89a4bd6/MFDbgBBn0SzhLP9NPnTAk.png"
    alt="i2i"
    width="1000"
  />
**🔄In progress**
- Corresponding **segmentation masks** are currently being uploaded


  <img
    src="https://cdn-uploads.huggingface.co/production/uploads/6510f03888cdfe73a89a4bd6/k52CClKfMrAjl46f4R56D.png"
    alt="sg"
    width="1000"
  />
**📅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.