Using Raspberry Pi AI Camera with a Custom Object Detector!

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 for Projects: https://discord.gg/DE9KzUgp Discord for Deep Learning Tutorials: discord.gg/8g92X5hjYF