Satellite Cloud Segmentation for Weather Prediction

I am seeking a competent data scientist or AI developer to help me segment satellite cloud images accurately, taking into account the different cloud types. This will be achieved by implementing the Segment Anything model, the Unet model, and other similar models.

The main objective is to enhance weather prediction efforts, hence, attention to detailing different cloud types is highly essential.

Your Responsibilities will be:

- Implementing the 'Segment Anything' model for segmenting satellite cloud images
- Deploying the Unet model and other similar models for accomplishing the same to achieve high accuracy
- Carefully identifying and classifying different types of clouds

Ideal skills and experiences:

- Experience with AI & deep learning models, particularly Unet
- Solid understanding of cloud morphology and classification
- Experience working with satellite imagery, preferably cloud images
- Proven track record in weather prediction algorithms or related models

Your understanding of effective cloud segmentation and its impact on weather prediction would thus be crucial to the success of this project.