This dataset1 contains 224x224-pixel images respresenting four different weather conditions: cloudy, shine, sunrise, and rain.
The data can be used to build and train an ML model that can determine weather conditions using image recognition.
This repo has the following structure:
- /cloud: images of scenes with cloudy skies.
- /rain: images of rainy scenes.
- /shine: images of sunny scenes.
- /sunrise: images of sunrises.
- /weather_new_log.csv: CSV file that enumerates the images for use in loading the data into PerceptiLabs. The enumerations are: cloud=0, rain=1, shine=2, sunrise=3.
The following shows a partial example of the data stored in the CSV file:
| image_path | target |
|---|---|
| cloud/cloud_0.jpeg | 0 |
| rain/rain_208.jpeg | 1 |
| shine/shine_208.jpeg | 2 |
| sunrise/sunrise_212.jpeg | 3 |
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The original dataset can be found here: https://data.mendeley.com/datasets/4drtyfjtfy/1
License: CC BY 4.0
1 Dataset Credits: Ajayi, Gbeminiyi (2018), “Multi-class Weather Dataset for Image Classification”, Mendeley Data, V1, doi: 10.17632/4drtyfjtfy.1