README
SAHI: Slicing Aided Hyper Inference
A lightweight vision library for performing large scale object detection & instance segmentation
SAHI helps improve object detection and instance segmentation performance on large images by processing them in intelligent slices.
SAHI (Slicing Aided Hyper Inference) is a Python library that enables 'sliced/tiled inference' for computer vision models, making it easier to detect small objects in high-resolution images. It supports various deep learning frameworks and includes an interactive UI for visualizing results and analyzing errors. You can integrate SAHI into existing pipelines to enhance detection quality, particularly for challenging large-scale images.
SAHI helps improve object detection and instance segmentation performance on large images by processing them in intelligent slices.
Researchers and developers working with large-scale images or needing to improve small object detection in computer vision tasks should use this.
