The repository contains Python scripts that perform object detection using YOLOv8 models converted to the ONNX format. It uses ONNXRuntime for model inference, with support for both GPU and CPU execution. Users can convert YOLOv8 models from Ultralytics to ONNX format using a provided Google Colab notebook. The scripts take input images, resize them to match the model’s input size, and output detected objects with bounding boxes.