DarkNet It inspired by the structure of GoogleNet. It has been designed for generating a final feature map that fits the size of the prediction, 7x7x30 for YOLO v1. It consists of a total of 24 conv layers and 2 fc layers. DarkNet trained by ImageNet dataset. Image size - 224x224 : When it trains for classification task. https://www.jeremyjordan.me/object-detection-one-stage/ - 448x448 : When it..
