CCAiM

--- 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