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CCAiM

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...

KindOtherBase modelmicrosoft/resnet-18VersionRevision 1923c87Bgrade

Model source

Kind
Other
File size
37.8–42.7 MB
Base model
microsoft/resnet-18
Version
vRevision 1923c87
Updated
Oct 10, 2026
Downloads
8
Source
Hugging Face

Source description

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

The project code for training, inference, and model evaluation is available on GitHub.

Used Datasets

Models

ModelAccuracyMacro-F1
V0.0.5 scratch27.52%0.123
R18 V0.0.542.95%0.314
V0.0.6 scratch35.57%0.237
R18 V0.0.650.34%0.390

Old models

This models was trained when i was not understanding in neurol networks many so this model very bad.

  • 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.

Sources

1 source
Hugging FacePrimaryVersion 1923c8778ce18e8135074a4fd9a75a097ad682fe
huggingface.co/serbekun/CCAiM/tree/1923c8778ce18e8135074a4fd9a75a097ad682fe

Verified Oct 10

Model artifacts

2 artifacts

CCAiM_R18_V0_0_6.pth

pth · 42.7 MB · SHA-256 8ca867253e4c…52f4 · Hugging Face

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CCAiM_V0_0_6.pth

pth · 37.8 MB · SHA-256 5feceb8b96cf…d75c · Hugging Face

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Source excerpts

3 excerpts

--- license: mit pipeline_tag: image-classification tags: - 39.7M - 40M - pytorch - image-classification - climate datasets: - serbekun/CCAiM-CloudsDataset base_model: - microsoft/resnet-18 --- ## 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 The project code for training, inference, and model evaluation is available on [**GitHub**](https://github.com/serbekun/CCAiM). # Used Datasets - My dataset on [**Hugging Face**](https://huggingface.co/datasets/serbekun/CCAiM-CloudsDataset) # Models |Model |Accuracy |Macro-F1 | |--------------|----------|---------| |V0.0.5 scratch|27.52% |0.123 | |R18 V0.0.5 |42.95% |0.314 | |V0.0.6 scratch|35.57% |0.237 | |**R18 V0.0.6**|**50.34%**|**0.390**| ## Old models This models was trained when i was not understanding in neurol networks many so this model very bad. - 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.

Source context: 8 downloads · 0 likes · Pipeline image-classification · Repo serbekun/CCAiM

Source context: 14366 downloads · 0 likes · Pipeline image-classification · Repo serbekun/CCAiM