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In this video 📝 we are going to take a look at how you can do object detection on small objects with SAHI and YOLO. The idea is the divide the image into tiles and slide it over the image to do predictions on each tile instead of the full image. There are always trade-offs between accuracy and speed but this is a nice approach and framework to detect very small objects which can't be done with just a single model pass.
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Timestamps:
0:00 Intro
0:58 SAHI Github Repo
5:01 Model Setup
6:01 Standart Inference with YOLOv5
6:41 Slicing Code
8:49 Results Standart Inference
10:48 Results Slicing Inference
12:26 Extract the Prediction Results
14:43 Batch Prediction
16:18 Outro
Tags: #SAHI #ObjectDetection #SmallObjects #yolov9