CNN Blocks used for building modern CV algorithms

Hello everyone, Im looking to better understand the use of convolutional blocks such as YOLOv8's bottleneck block, SPPF, and C2f blocks, how are they constructed? and why are they built that way?, and what led the creators choose to use this order of layers? etc.

I think I have a solid understanding of what each CNN layer does ( Conv, Pooling, FC) but the concept of these blocks alludes to me.

any explanations or resources are appreciated.

algorithms block building cnn computervision creators etc hello modern solid think understanding yolov8