| --- |
| 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. |
