Feb. 22, 2024, 4:41 a.m. | Andrey Germanov

DEV Community dev.to




Table of contents

Introduction

Prepare the dataset

    The source dataset format

    The YOLOv8 dataset format

    Convert the dataset

        Create the YOLOv8 dataset folder structure

        Generate the data.yaml file

        Copy images from source to destination datasets

        Convert annotations

Train the caries detector model

Detect caries on custom image

Create a web-service to detect caries

Conclusion






Introduction

This is a fifth part of my YOLOv8 series, and it's time to start using the theory, learned before, to solve a real world task. …

annotations computervision contents copy data dataset datasets detection file format generate image images introduction machinelearning network neural network python service table train tutorial web yaml yolov8

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