# ImageNet Pretraining

RegNet image classification model trained on ImageNet-1k, designed using neural architecture search technology

RegNet model trained on ImageNet-1k, an efficient vision model designed via neural architecture search

SegFormer encoder fine-tuned on ImageNet-1k, featuring a hierarchical Transformer architecture, suitable for semantic segmentation tasks.

A Vision Transformer model trained using the DINO self-supervised method, based on the ViT architecture and pretrained on the ImageNet-1k dataset.