Tutorial of AI Kit with Raspberry Pi 5 about YOLOv8n Object Detection

#raspberrypi4 #ai #raspberrypi4 #raspberrypi5 #yolov8 #objectdetection #ai
#computervision

Dive into our latest tutorial on training and deploying YOLOv8n on Raspberry Pi 5 with AI Kit from scratch! It's a complete tutorial covering model training, format converting, quantizing, and compiling. Empowered by Ultralytics & Hailo, You'll craft a perfect-sized quantized HEF INT8 object detection model for your RPi AI Kit!

Note the enhanced performance after configuring the RPi 5 from PCIe Gen2 to Gen3. Model inputs are 640x640 pixels, with video input at 240 fps. Check this video to witness an impressive inference speed of 135fps.

YOLOv8 (You Only Look Once version 8) is the most popular YOLO series of real-time pose estimation and object detection models. It builds upon the strengths of its predecessors by introducing several advancements in speed, accuracy, and flexibility. The Raspberry-pi-AI-kit is used to accelerate inference speed, featuring a 13 tera-operations per second (TOPS) neural network inference accelerator built around the Hailo-8L chip. This video shows you how to use YOLOv8n to do object detection with AI kit on Raspberry Pi5 from training to deploying.

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[kewalchavan]

Does this work on custom dataset of higher resolution