TIMESTAMPS
00:00 Intro
01:35 My Github Repo
01:50 First example dataset
02:57 Creating Train/Val/Test Data splits
05:26 Training A YOLO model
10:09 Viewing trained model
11:23 Exporting YOLO model for the IMX500
14:08 Copy and Convert the Model On the Raspberry Pi
15:24 Testing the Model on the Raspberry Pi
19:13 Working AI Camera Output test!
20:09 Second Dataset Example
22:08 Exporting with real image examples
24:39 Second Model Output Test!

In this Video we train, export and quantize our own YOLO object detection model in order to run it on the Raspberry Pi AI Camera!!

Support this work with a one-off donation!
https://buymeacoffee.com/lukeditria

Github Repo
https://github.com/LukeDitria/RasPi_YOLO

Kaggle datasets used:
https://www.kaggle.com/datasets/siddharthkumarsah/plastic-bottles-image-dataset
https://www.kaggle.com/datasets/andy8744/playing-cards-object-detection-dataset

Discord
discord.gg/8g92X5hjYF

source