Jan. 19, 2022, 8:22 a.m. | /u/alexppppp42

Computer Vision www.reddit.com

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

Take a look at an example of synthetic scene here:

https://preview.redd.it/lzr920vntlc81.png?width=2053&format=png&auto=webp&s=a39442e63eb02eeb2897530323d0a92e81041122

I hope the script will …

computervision datasets detection tutorial

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