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This tutorial is meant to explore how one could create synthetic data in order to train a model for object detection

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FruitSyntheticDataset

This code is accompanied by a tutorial at https://amizorach.medium.com/creating-synthetic-data-for-machine-learning-dab5728f6411

For the already created Dataset simply use the files in the dataset template_folder you can find a colab notebook in the notebook folder

Preparations:

Create a virtual environment or conda environment

pip install -r requirements.txt

-- This should install the required packages for creating the dataset

Unfortunately, I am not able to install pascal-voc from the pip You can try running pip install pascal-voc

If this does not work run the following

unzip pascal_voc.tar.gz

Running

python fruit_dataset_creator.py -h to get the full options for the dataset creator

for example, you can run the following

python fruit_dataset_creator.py -c 10 -s 250 To create 10 images of 250X250 pixels

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This tutorial is meant to explore how one could create synthetic data in order to train a model for object detection

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