We are excited to announce that you can now leverage SSL and distillation pretraining in just a few lines of code! We've worked hard to make self-supervised learning even more accessible with our new project LightlyTrain. Head over there to get started and supercharge your models! ⚡️
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
Curated List of papers on Self-Supervised Representation Learning
RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO & designed for fine-tuning.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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