Explore object detection techniques in this comprehensive computer vision lecture. Delve into the comparison of detection algorithms, examining R-CNN training methods including fine-tuning, feature extraction, and classifier training. Investigate Fast R-CNN's improvements, focusing on Region of Interest Pooling. Analyze the limitations of Fast R-CNN and discover the advancements made in Faster R-CNN, including the introduction of Region Proposal Networks (RPN) and anchor boxes. Gain valuable insights into the evolution of object detection methodologies within the field of computer vision.