Multi-Class Weather Dataset
Multi-Class Weather Dataset
Datasets
Multi-Class Weather Dataset
File
Multi-Class Weather Dataset (MWD)
Use Case
Computer Vision
Description
The dataset provides a platform for outdoor weather analysis by extracting various features for recognizing different weather conditions.
About Dataset
Multi-class Weather Dataset (MWD) for Image Classification
The Weather Dataset (MWD) for image classification is a valuable resource that is extensively used in the research paper titled “Weather Recognition from Still Image Using Heterogeneous Ensemble Method.” This dataset plays a crucial role in advancing research by providing diverse weather-related images. Consequently, it enables the development and evaluation of sophisticated classification algorithms. Additionally, the MWD’s comprehensive nature allows for better generalization and robustness in weather recognition tasks. By incorporating various weather conditions, this dataset ensures more accurate and reliable performance of machine learning models. Therefore, it contributes significantly to the field of image classification.
Inspiration behind your dataset
The dataset offers a robust platform for outdoor weather analysis by extracting key features essential for recognizing different weather conditions. Using advanced algorithms, the dataset carefully analyzes weather patterns, identifying indicators such as temperature, humidity, and wind speed. Additionally, it enables the precise classification of weather states, ranging from clear skies to severe storms. As a result, this dataset is invaluable for meteorological research and practical applications, ultimately enhancing predictive accuracy and facilitating better decision-making.
This dataset is sourced from Kaggle.
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