👉 The sphere project is a popular machine learning framework designed for building and training 3D convolutional neural networks (CNNs) on spherical data, such as medical scans, satellite imagery, or any data that naturally forms a sphere. It simplifies the process of handling 3D data by treating it as if it were a 2D image, allowing for efficient computation and model training. The project provides pre-trained models, tools for data loading and augmentation, and a user-friendly API to facilitate rapid prototyping and experimentation with 3D CNNs. This makes it accessible for researchers and developers working in fields like medical imaging, geospatial analysis, and robotics, where spherical data is prevalent.
