sahi

Python library for YOLO small object detection and instance segmentation

icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

Sakuli is an end-2-end testing and monitoring tool for web sites and common UIs with multiple monitoring integrations

Accelerating SAHI-based inference on YOLO models using TensorRT.

SAHI(Slicing Aided Hyper Inference)をYOLOX(ONNX)で動かしたサンプル

Yolov5 Modelini Kullanarak Özel Nesne Eğitimi ve SAHI Kullanımı

🚀 Extract and analyze high-accuracy georeferenced vehicle trajectories from bird's-eye-view aerial video using computer vision and deep learning, for scalable urban traffic analysis.

Native GStreamer plugins that integrate SAHI (Slicing Aided Hyper Inference) into NVIDIA DeepStream for real-time small object detection in high-resolution video streams.

Unified, high-performance computer vision tracking library

🛰️ SAHI-powered satellite reconnaissance system for detecting military vehicles in high-resolution imagery. Uses YOLOv8 with sliding window inference to detect small objects (tanks, trucks, AFVs) that standard detection misses due to aggressive image downscaling. Processes 4000x4000 images via 512x512 overlapping tiles.

Tile a YOLO-formatted dataset for small detection, segmentation, and classification.

Tool for detecting cracks on construction materials (based on YOLO V8 + SAHI). Simple measurements made easy with a GUI

Bu repo SAHI uygulamasını mantığını öğreniyoruz.

Sliced Detection and Clustering Analysis Toolkit - a tool to quickly find and cluster objects in your images for accelerated labeling

使用SAHI模块完成超分辨率以及小目标检测是应用示例，仅供参考。

YOLOv9 (Ultralytics) Python interface for training, validating and running detection on waste detection dataset + detection using SAHI.

Small Object Detection in Dense UAV Imagery using YOLOv8-L with Structured Ablation (EMA, P2 Head, PIoU) and SAHI Evaluation on VisDrone2019.

An AI-powered Road Damage Assessment system using YOLOv11s & SAHI to detect potholes and cracks with high precision. Featuring a Streamlit dashboard for real-time analysis, it provides engineering reports based on IRC standards. Integrated with RAG technology to offer expert maintenance consulting derived from civil engineering manuals.

Code for Automated Detection of Antarctic Benthic Organisms in High-Resolution In Situ Imagery to Aid Biodiversity Monitoring (Trotter et. al, 2025)