Object Detection for Dummies Part 3: R-CNN Family

Lilian Weng · 8 years ago

This article reviews the R-CNN family of object detection models, building on previous parts covering image processing fundamentals and classic CNN architectures. The post includes updates from December 2018 clarifying that YOLO will be covered separately in Part 4 and adding sections on bounding box regression and R-CNN techniques. The series progresses systematically from basic concepts through CNN designs to region-based detection approaches.