---
license: mit
tags:
- climate
- pytorch
- image-classification
datasets:
- serbekun/CCAiM-CloudsDataset
model_size: 39.7M 
params: 9,907,530
---
## CCAiM

# overwiev

CCAiM aims to develop an AI-powered model for classifying clouds based on ground-level photographs. The project uses image recognition techniques to identify cloud types according to the WMO International Cloud Atlas classification.

# GitHub

project code and data set [github](https://github.com/serbekun/CCAiM)

# Used Datasets

- my dataset on [hugging face](https://huggingface.co/datasets/serbekun/CCAiM-CloudsDataset)

# Models

- v_0.0.1 # first model learned by 23 photo.
- v_0.0.2 # second model learned by 42 photo.
- v_0.0.3 # model learned by 88 photo.
- V_0.0.4 # model learned by 165 photo.