---
language:
- en
license: cc-by-4.0
tags:
- snow-cover-estimation
- visibility-estimation
- resnet50
---

# Model Card for Snow-Cover and Visibility Estimation using ResNet50

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.

For details and a quick starter Colab, visit [GitHub repository](https://github.com/nanopiero/weow).

## Model Details

### Model Description

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.

- **Developed by:** Pierre Lepetit
- **Funded by:** Météo-France
- **Model type:** Convolutional Neural Network (ResNet50)
- **Language(s):** N/A (not applicable for this non-NLP model)
- **License:** CC by 4.0
- **Training data:** Webcam images from various outdoor environments, annotated for snow cover and visibility.

### Input and Output

- **Input:** Webcam images (standard format, JPEG/PNG, etc.) of outdoor environments.
- **Output:** 
  - Relative snow cover estimation.
  - Relative Horizontal visibility estimation.

## Uses

### Intended Use

This model is designed for:
- Monitoring snow cover in outdoor environments.
- Estimating visibility conditions in real-time based on webcam imagery.

### Direct Use

Refer to the example notebook for direct use: [example_usage.ipynb](https://github.com/nanopiero/weow/blob/main/notebooks/example_usage.ipynb)