CVNets is a computer vision training toolkit that supports standard and mobile-optimized models for tasks including image classification, object detection, semantic segmentation, and foundation models. It includes implementations of EfficientNet, Swin Transformer, ViT, Mask R-CNN, and CLIP, with support for data augmentation techniques like RangeAugment.