Journey of AI-Led FoodInsight Development with BMAD
Case study on building an edge AI food monitoring system using AI-led development with the BMAD framework, achieving rapid delivery with minimal human oversight.
Case study on building an edge AI food monitoring system using AI-led development with the BMAD framework, achieving rapid delivery with minimal human oversight.
A technical comparison of YOLO-based food detection from 2018 to 2026, showing the evolution of deep learning tooling and ease of use.
A tutorial on using Python, Ultralytics YOLO, and Supervision for computer vision tasks like object detection and image annotation.
Explores fast, one-stage object detection models like YOLO, SSD, and RetinaNet, comparing them to slower two-stage R-CNN models.