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WeatherDataset-4

This dataset contains 4,983 weather images covering most severe weather conditions, divided into four categories: fog, rain, snow, and clear. Each category is split into a training set (4,000 images) and a test set (983 images). Images were primarily collected from the Internet and filtered according to specific requirements. Image sources include aerial photography, handheld cameras, news footage, traffic accident recordings, and dash‑cam recordings. The dataset is intended for recognizing weather conditions on traffic roads, so most images feature complex road scenes such as urban streets, highways, and rural roads.

Updated 12/18/2023
github

Description

Dataset Overview

Dataset Name

WeatherDataset-4

Dataset Description

The dataset contains 4,983 weather images covering most severe weather conditions, divided into four categories: fog, rain, snow, and clear. Each category is split into a training set (4,000 images) and a test set (983 images). The images were mainly collected from the Internet and filtered according to specific requirements. Sources include aerial photography, handheld cameras, news footage, traffic accident recordings, and dash‑cam recordings. The dataset is designed to identify weather conditions on traffic roads; therefore, most images contain complex road scenes such as urban streets, highways, and rural roads.

Dataset Features

  • Number of Images: 4,983
  • Categories: Fog, Rain, Snow, Clear
  • Resolution: 256×256 pixels
  • Format: JPEG

Contact Information

For download instructions, please contact: 20181219099@nuist.edu.cn

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Topics

Weather Recognition
Traffic Safety

Source

Organization: github

Created: 5/2/2020

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