Liquid Archive Research

Research assistantship project with Professor Richard The at Parsons

I developed a Machine Learning based image composition pipeline that parses through MIT Museum’s collection and creates organic blurb masks based on the detected objects and image features.

This project was completed under Richard The’s supervision as continuing research on design studio TheGreenEyl ’s Liquid Archive project.

Role: Python developer

Tools used: MediaPipe, YOLOv3, OpenCV

Glimpse into the different layers of detection

Example results

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