1aurent/vit_base_patch16_224.owkin_pancancer_ft_lc25000_lung

A Vision Transformer (ViT) image classification model. \ Trained by Owkin on 40 million pan-cancer histology tiles from TCGA-COAD.

A Vision Transformer (ViT) image classification model. \ Trained on 2M histology patches from TCGA-BRCA.

A Vision Transformer (ViT) image classification model. \ Trained on 15M histology patches from PAIP and TCGA. \ Used the MoCo v3 self supervised learning method.

PhenoVision is a Vision Transformer (ViT-Large) model fine-tuned to detect flowers and fruits in plant photographs. It was trained on 1.5 million human-annotated iNaturalist images and has been used to generate over 30 million new phenology records across 119,000+ plant species, vastly expanding…

We provide a model for classifying whale species from images of their tails and fins.

!fffffff.png