Guide

📄️Prepare Training Dataset

A sufficient ODHUB training dataset for object detection includes:

📄️Create Project

After launching ODHUB, the Select Project window is displayed.

📄️Load Training Dataset

After creating a new object detection project, you will come to the next step to upload training dataset for the project

🗃Labelling Tools

2 items

📄️Model Training

After sending data to the engine, you need to set up the training parameters to start a training experiment. Each training experiment will produce a specific AI model based on the chosen parameters. This means that a project can have multiple models of the same dataset, depending on the number of experiments.

📄️Evaluate & Export Models

ODHUB provides an intuitive report that helps users choose the best experiment (model) for their object detection application. This information includes model type, final mAP, etc.

📄️Model Testing

This is optional step that help you to personally verify the model performance and accuracy