---
title: WeatherNet-05-18039
canonical_url: "https://www.modelscope.cn/datasets/prithivMLmods/WeatherNet-05-18039"
md_url: "https://www.modelscope.cn/datasets/prithivMLmods/WeatherNet-05-18039.md"
repository: prithivMLmods/WeatherNet-05-18039
last_updated: 2025-05-08
license: "Apache License 2.0"
storage_size: "518 MB"
downloads: 801
stars: 0
---

# WeatherNet-05-18039

> WeatherNet-05-18039 - prithivMLmods 在 ModelScope 开源的数据集。WeatherNet-05 is a weather image classification dataset consisting of 18,039 images labeled into 5 distinct weather-related classes. The dataset is suitable for training and evaluating computer vision…

prithivMLmods/WeatherNet-05-18039 是 ModelScope 魔搭社区上的数据集，存储大小 518 MB，采用 Apache License 2.0 许可。

- **Repository**: prithivMLmods/WeatherNet-05-18039
- **License**: Apache License 2.0
- **Storage size**: 518 MB
- **Downloads**: 801
- **Stars**: 0
- **Last updated**: 2025-05-08

Source: https://www.modelscope.cn/datasets/prithivMLmods/WeatherNet-05-18039

---

# WeatherNet-05-18039 

## Overview

WeatherNet-05 is a weather image classification dataset consisting of 18,039 images labeled into 5 distinct weather-related classes. The dataset is suitable for training and evaluating computer vision models on the task of classifying weather conditions based on image data.

## Dataset Structure

- **Split:** `train`  
- **Number of rows:** 18,039  
- **Label Type:** Categorical (5 classes)  
- **Image Resolution:** Varies (from 90px to 4.86k px width)  
- **File Format:** Auto-converted to Parquet for efficient processing

## Label Classes

The dataset contains the following classes (not fully visible in the image but inferred from partial data):

- cloudy or overcast
- [4 other class names not displayed in the screenshot]

## Usage

You can use the dataset directly with Hugging Face's `datasets` library:

```python
from datasets import load_dataset

dataset = load_dataset("prithivMLmods/WeatherNet-05-18039")
````

## Applications

This dataset is ideal for:

* Weather image classification
* Transfer learning with visual transformers
* Fine-tuning pre-trained computer vision models

## Related Models

This dataset has been used to train or fine-tune models such as:

* `prithivMLmods/Weather-Image-Classification` (Image Classification)

## Collections

This dataset is part of the collection:

* `Content Filters SigLIP2/ViT` (Moderation, Balance, Contextual Understanding)