Face Blur & Picture Frame Detection - Wortel AI annotation portfolio

Sample frames for this project are available under NDA. Write to bilal@wortel.ai and we will share the relevant before and after pairs.

Challenges

Detecting very small or partially visible faces inside picture frames.
Handling reflections, shadows, glare, and low-resolution images.
Real human faces had to be distinguished from paintings, artwork, and decorative objects.
Creating accurate polygon boundaries around irregular picture frames.
Consistency between frame and face annotations had to be maintained across the dataset.

Project overview

Property and real estate images were annotated for a computer vision dataset designed to detect picture frames and human faces for privacy protection. The work involved creating accurate polygon and bounding box annotations to generate high-quality training data for an AI model capable of automatically detecting and blurring faces before property images are published.

Dataset