SAHI (Slicing Aided Hyper Inference)

SAHI (Slicing Aided Hyper Inference) is a lightweight Python library designed to improve object detection and instance segmentation performance, especially for small objects in large or high-resolution images. It achieves this by dividing images into smaller overlapping slices, running inference on each slice, and then intelligently merging the predictions. Currently at version 0.11.36, SAHI has a frequent release cadence, often issuing patch releases to address bugs and introduce minor enhancements.