Author: Fatih Çağatay Akyön – Lead Machine Learning Engineer, OBSS |
LinkedIn: https://www.linkedin.com/in/fcakyon/
SAHI is an open-source vision library developed by OBSS to improve large-scale object detection and instance segmentation performance, especially for small objects in high-resolution images.
Object detection and instance segmentation are by far the most important fields of applications in Computer Vision. However, detection of small objects and inference on large images are still major issues in practical usage.
Github: https://github.com/obss/sahi
Here you can see the inference result of the state of the art instance segmentation model Cascade Mask RCNN:
