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# Model Card for Model ID
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Please find details and a quick colab starter on github/nanopiero/weow.
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- **Developed by:** Pierre Lepetit
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- **Funded by
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- **Model type:** ResNet50
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- **Language(s) (NLP)
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- **License:** CC by 4.0
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###
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language:
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- en
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license: cc-by-4.0
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tags:
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- snow-cover-estimation
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- visibility-estimation
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- resnet50
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# Model Card for Snow-Cover and Visibility Estimation using ResNet50
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This ResNet50 model is trained to provide a relative estimation of snow cover and horizontal visibility from webcam images. The model outputs are averaged to provide proxies for these two weather-related metrics.
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For details and a quick starter Colab, visit [GitHub repository](https://github.com/nanopiero/weow).
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## Model Details
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### Model Description
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This model leverages a ResNet50 architecture to estimate snow cover and visibility based on webcam imagery. It was trained using a dataset of images captured in varying weather and lighting conditions, making it suitable for outdoor use.
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- **Developed by:** Pierre Lepetit
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- **Funded by:** Météo-France
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- **Model type:** Convolutional Neural Network (ResNet50)
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- **Language(s):** N/A (not applicable for this non-NLP model)
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- **License:** CC by 4.0
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- **Training data:** Webcam images from various outdoor environments, annotated for snow cover and visibility.
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### Input and Output
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- **Input:** Webcam images (standard format, JPEG/PNG, etc.) of outdoor environments.
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- **Output:**
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- Relative snow cover estimation.
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- Relative Horizontal visibility estimation.
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## Uses
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### Intended Use
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This model is designed for:
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- Monitoring snow cover in outdoor environments.
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- Estimating visibility conditions in real-time based on webcam imagery.
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### Direct Use
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Refer to the example notebook for direct use: [example_usage.ipynb](https://github.com/nanopiero/weow/blob/main/notebooks/example_usage.ipynb)
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