scenic

Why we included this project

Anyone building vision models in JAX knows how much time goes into the same scaffolding: training loops, data pipelines, logging, and metrics. Scenic packages that shared infrastructure into lightweight libraries, then adds a set of complete reference projects for tasks like image classification, segmentation, detection, and video that you can run directly or adapt. Because several well-known papers in the field were developed on this codebase, it also serves as a dependable source of strong baselines and reproducible recipes. It assumes you are comfortable in the JAX and Flax ecosystem, but for research teams or production work on vision transformers it is a solid foundation rather than a thin wrapper.