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multi-class-weather-classification

A deep learning project for classifying weather conditions into Cloudy, Rain, Shine, and Sunrise using CNNs. Models include a baseline and ResNet, with preprocessing steps like normalization, resizing, and class balancing. Evaluation is based on precision, recall, and F1-score. Implemented in TensorFlow, Keras, and PyTorch on Google Colab.

https://github.com/sravanipapolu/multi-class-weather-classification

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
  • ○
    Academic publication links
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

A deep learning project for classifying weather conditions into Cloudy, Rain, Shine, and Sunrise using CNNs. Models include a baseline and ResNet, with preprocessing steps like normalization, resizing, and class balancing. Evaluation is based on precision, recall, and F1-score. Implemented in TensorFlow, Keras, and PyTorch on Google Colab.

Basic Info
  • Host: GitHub
  • Owner: Sravanipapolu
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 4.19 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed 9 months ago
Metadata Files
Readme Citation

README.md

Multi-class-weather-classification

A deep learning project for classifying weather conditions into Cloudy, Rain, Shine, and Sunrise using CNNs. Models include a baseline and ResNet, with preprocessing steps like normalization, resizing, and class balancing. Evaluation is based on precision, recall, and F1-score. Implemented in TensorFlow, Keras, and PyTorch on Google Colab.

📂 Dataset

The dataset contains 1125 images categorized into Cloudy, Rain, Shine, and Sunrise.

📥 Download the Dataset
The dataset is publicly available on Mendeley Data.
👉 Click here to access the dataset

Attribution Requirement:

If you use this dataset, you must provide proper credit by citing:
Ajayi, Gbeniniyi (2018), “Multi-class Weather Dataset for Image Classification”,
Mendeley Data, V1, DOI: 10.17632/4drtyfjtfy.1.

Owner

  • Login: Sravanipapolu
  • Kind: user

Citation (CITATION.md) 

# 📜 Citation

If you use this dataset in your research or project, please cite it as follows:

Ajayi, Gbeniniyi (2018), **“Multi-class Weather Dataset for Image Classification”**,  
Mendeley Data, V1, DOI: [10.17632/4drtyfjtfy.1](https://data.mendeley.com/datasets/4drtyfjtfy/1).

## How to Cite in BibTeX
For LaTeX or academic purposes, use this BibTeX entry:

```bibtex
@dataset{ajayi2018weather,
  author = {Gbeniniyi Ajayi},
  title = {Multi-class Weather Dataset for Image Classification},
  year = {2018},
  publisher = {Mendeley Data},
  version = {V1},
  doi = {10.17632/4drtyfjtfy.1}
}

GitHub Events

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Last Year
  • Public event: 1
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Dependencies

requirements.txt pypi
  • gdown *
  • numpy *
  • opencv-python-headless *
  • streamlit *
  • tensorflow *