Scenic
A JAX library for rapid prototyping of large-scale attention-based vision models across images, video, audio, and multimodal data.
What is Scenic?
Scenic is a JAX library focused on research and development of large-scale, attention-based models for computer vision and beyond. It solves the problem of rapid prototyping for vision models by providing shared, optimized libraries for common tasks and hosting complete project implementations. It is extensively used for building models that handle images, video, audio, and multimodal data.
Researchers and engineers in computer vision and multimodal AI who need a flexible, high-performance codebase for developing and experimenting with large-scale attention-based models using JAX.
Developers choose Scenic for its clean design philosophy favoring simplicity, its comprehensive set of optimized libraries for large-scale training, and its extensive collection of state-of-the-art model implementations and baselines, all built on the efficient JAX/Flax stack.
Overview
Scenic: A Jax Library for Computer Vision Research and Beyond
Use Cases
Best For
- Rapid prototyping of novel vision transformer architectures
Related Projects
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