Tutorial/script for generating synthetic datasets for YOLOv5

[alexppppp]

Preparing dataset for training object detection model is a time-consuming task.

Generating synthetic dataset is much faster and easier, so it can save a lot of time for data scientists and ML engineers.

I've created a detailed tutorial on how to do that with Python and published it here:
https://medium.com/@alexppppp/how-to-create-synthetic-dataset-for-computer-vision-object-detection-fd8ab2fa5249

Or, you can skip the tutorial and use the script from here:
https://github.com/alexppppp/synthetic-dataset-object-detection

I hope the script will be useful for you! Also I will appreciate any feedback and ideas how to improve it)