serbekun/CCAiM-CloudsDataset

CCAiM CloudsDataset

Description

This dataset contains photographs of clouds collected for the CCAiM project, a model for cloud classification. It includes various types of clouds captured from the ground and can be used for training and testing computer vision models.

Dataset Structure

• Cloud images in JPEG/PNG format
• Optional metadata: cloud type, date, location

Usage

all data

from datasets import load_dataset

dataset = load_dataset("serbekun/CCAiM-CloudsDataset")
print(dataset)

Only one file

from datasets import load_dataset

ds = load_dataset("serbekun/CCAiM-CloudsDataset")
example = ds["train"][0]

image = example["image"]
label = example["label"]

image.show()
print("Label:", ds["train"].features["label"].int2str(label))

You will get a DatasetDict with splits like train, validation (if available) and images of clouds with their corresponding labels.

Project Purpose

The dataset is intended for training and testing the CCAiM model for cloud classification. It can be used for educational and research purposes.

License

The dataset is released under the MIT

Contact

For questions or suggestions, reach out via GitHub: serbekun