Artificial Data Synthesis for Object Detection Training (2021)

Nikita Lokhmachev

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ML Engineer

Software Engineer

AI Developer

OpenCV

Python

PyTorch

To enhance our human detection algorithm, I devised several methods to augment or generate new data for our dataset. I began by using a cutting-edge segmentation CNN to extract human figures from the dataset images. We identified 10 distinct scenes where people were detected. For each scene, I specified the plausible areas where individuals could be positioned and developed a program to generate new scenes featuring people in different poses. To seamlessly integrate the extracted human images into these scenes, I adapted their HSV values using histogram equalization, ensuring they matched the lighting and color conditions of the scene.
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Posted Sep 16, 2024

I generated scenes with people in various poses by using a segmentation CNN, placing them logically, and adapting HSV with histogram equalization.

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Clients

Kryptonite

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ML Engineer

Software Engineer

AI Developer

OpenCV

Python

PyTorch

Nikita Lokhmachev

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