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 Dataset Statistics Total number of images: 916 Cloud Type Number… See the full description on the dataset page: https://huggingface.co/datasets/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
Dataset Statistics
Total number of images: 916
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