Person Segmentation — Entertainment / Media AI

Built a cloud-based person segmentation system for an media client, enabling automated separation of subjects from backgrounds at scale on AWS. The pipeline processes high volumes of video and image content — handling diverse studio conditions, costume variation, and complex scene composition — delivering clean segmentation masks used in post-production, live broadcast, and interactive media workflows. Below was a test done with my own image.

Tools & Architecture Used:
 - Python
 - Opencv
 - Tensorflow Keras
 - UNET Architecture 
 - AWS
 - Optimised model for performance 
 - Docker
 - FastAPI
 - Github Actions
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Stereo Calibration & Rectification — XR