YOLO brand detection for sponsor analytics
For sponsor analytics at DosBro, I developed a YOLOv4-based brand detection framework that processed 300K+ social media images per month and replaced a large chunk of manual tagging work.
The system delivered 89% mAP and cut manual labeling effort by 40%, giving marketing teams consistent brand exposure data across Instagram and similar platforms without waiting on human review for every image.
Focus
- YOLOv4 object detection at social-media scale
- Sponsor and brand analytics automation
- High-volume image processing pipelines
