metadata
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
Used Datasets
- my dataset on hugging face
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.