CV-pretrained-model

Why we included this project

Picking a pretrained model for a computer vision project usually means digging through half a dozen separate repositories. This index gathers those models and their code in one place, sorted by framework (TensorFlow, Keras, PyTorch, Caffe, MXNet) and covering tasks like object detection, segmentation, super-resolution, and captioning. Each entry points back to the original repo, so you can check the license and usage notes before committing. It's most useful for prototyping and teaching, where the plain-language explanations help you judge whether a model.