Real-Time Video Analysis Pokédex™ with YOLO v8

The objective of this project is develop a real-time detection system using artificial intelligence models (YOLO), leveraging some Red Hat technologies. This solution will enable efficient and accurate Pokemons location in video sequences, employing advanced deep learning techniques.

Steps

1. Single Node OpenShift installation using the Assisted Installer on baremetal
2. Infrastructure configuration
3. Red Hat OpenShift AI (RHOAI) set up
4. Labeling a custom dataset using Label Studio
5. YOLOv5 training on a custom dataset on Red Hat OpenShift AI (RHOAI)
6. Pokedex application deployment using MicroShift