Model card for vit small patch8 224.lunit dino A Vision Transformer (ViT) image classification model. \ Trained on 33M histology patches from various pathology datasets. Model Details Model Type: Feature backbone SSL Method: DINO Model Stats: Params (M): 21.7 Image sizes: 224 × 224 x 3 Papers: Benchmarking Self Supervised Learning on Diverse Pathology Datasets: https://arxiv.org/abs/2212.04690 Datasets: BACH CRC MHIST PatchCamelyon CoNSeP Original: https://github.com/lunit io/benchmark ssl pathology License: lunit non commercial Model Usage Image Embeddings Citation
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