visually create datasets directly within their Jupyter notebooks
-
Updated
Jun 3, 2024 - Jupyter Notebook
visually create datasets directly within their Jupyter notebooks
This repository provides the Unity Editor project for the synthetic computer vision dataset generation tools used by our team at LARC 2021. There is also a Jupyter notebook for data exploration of the datasets generated with the tool.
A modular tool for creating synthetic datasets to train, test, and prototype AI models. It includes customizable scripts, a Jupyter notebook for data exploration, and support for various AI use cases like supervised learning, data augmentation, and federated learning.
Add a description, image, and links to the dataset-generation topic page so that developers can more easily learn about it.
To associate your repository with the dataset-generation topic, visit your repo's landing page and select "manage topics."