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✕ 清除筛选

🔒 microsoft/BiomedParse
医学通用·医学通用 ·6.26 GB ·↓ 10,336 ·♥ 116
This is the official model checkpoint repo for "A foundation model for joint segmentation, detection and recognition of biomedical objects a…
🔒 facebook/dinov3-vit7b16-pretrain-lvd1689m
通用·自然图像通用 ·26.86 GB ·↓ 7,361 ·♥ 297
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-vitb16-pretrain-lvd1689m
通用·自然图像通用 ·0.34 GB ·↓ 463,307 ·♥ 479
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-convnext-base-pretrain-lvd1689m
通用·自然图像通用 ·0.35 GB ·↓ 5,825 ·♥ 33
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-convnext-large-pretrain-lvd1689m
通用·自然图像通用 ·0.78 GB ·↓ 12,440 ·♥ 39
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-vith16plus-pretrain-lvd1689m
通用·自然图像通用 ·3.36 GB ·↓ 41,841 ·♥ 89
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-vitl16-pretrain-lvd1689m
通用·自然图像通用 ·1.21 GB ·↓ 738,000 ·♥ 1493
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 facebook/dinov3-vits16-pretrain-lvd1689m
通用·自然图像通用 ·0.09 GB ·↓ 255,303 ·♥ 386
DINOv3 is a family of versatile vision foundation models that outperforms the specialized state of the art across a broad range of settings,…
🔒 OpenGVLab/InternVideo2-Stage2_1B-224p-f4
视频·视频通用 ·2.82 GB ·↓ 0 ·♥ 32
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
🔒 google/medsiglip-448
医学通用·医学通用 ·3.52 GB ·↓ 17,023 ·♥ 218
issues): MedSigLIP GitHub Foundations terms of use](https://developers.google.com/health-ai-developer-foundations/terms).
🔒 facebook/sam3
通用·分割/检测/深度 ·6.9 GB ·↓ 1,864,206 ·♥ 4917
SAM 3 is a unified foundation model for promptable segmentation in images and videos. It can detect, segment, and track objects using text o…