# Lightweight Network

MobileNet V1 is a lightweight convolutional neural network designed for mobile and embedded vision applications, pre-trained on the ImageNet-1k dataset.

A semantic segmentation model based on MobileNetV2 architecture with DeepLabV3+ head, pre-trained on the PASCAL VOC dataset

RepVGG-A1 is a lightweight image classification model pre-trained on the ImageNette dataset, designed with a reparameterizable architecture.