SlimSnap

SlimSnap is an AI/ML project that automatically identifies and removes redundant or low-quality training images from a dataset, streamlining model preparation for machine learning practitioners. It is designed for data scientists and engineers who need to clean large image collections efficiently without manual sorting. The project is interesting because it reduces storage and training costs while improving model performance by eliminating noise, all through a simple, automated pipeline.