obss/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Implements adaptive slicing strategies to partition large images into smaller regions for inference, then merges detections with duplicate elimination—enabling efficient small object detection without retraining models. Supports multiple detection frameworks (YOLOv5/v8, MMDetection, HuggingFace Transformers, TorchVision) through a unified API, plus dataset utilities for COCO format slicing and error analysis via FiftyOne integration.
5,160 stars. Used by 1 other package. Actively maintained with 28 commits in the last 30 days. Available on PyPI.
Stars
5,160
Forks
735
Language
Python
License
MIT
Last pushed
Mar 12, 2026
Commits (30d)
28
Dependencies
11
Reverse dependents
1
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