model

The model files officially adopted by nndeploy are placed in the ModelScope community and HuggingFace community.

  • The official repository of nndeploy in the ModelScope community is modelscope/nndeploy.

  • The official repository of nndeploy in the HuggingFace community is huggingface/nndeploy.

After completing the model deployment, developers need to upload the corresponding model files to the following platforms and update the model list.

  • The official repository of nndeploy in the ModelScope community modelscope/nndeploy.

  • The official repository of nndeploy in the HuggingFace community huggingface/nndeploy.

  • Developer’s own ModelScope community repository.

  • Developer’s own HuggingFace community repository.

  • Open platforms familiar to developers.

Usage guide.

  • ModelScope usage guide ModelScope usage guide.

  • HuggingFace usage guide HuggingFace usage guide.

Support model list and download links.

classification

  • classification/resnet50-v1-7.onnx: ResNet50-v1-7, Model Type: onnx, input size: Nx3x224x224, classes: 1000, download.

  • classification/resnet50-v1-7.sim.onnx: onnx sim model of ResNet50-v1-7, Model Type: onnx, input size: Nx3x224x224, classes: 1000, download.

  • classification/resnet50-v1-7.slim.onnx: onnx slim model of ResNet50-v1-7, Model Type: onnx, input size: Nx3x224x224, classes: 1000, download.

  • classification/resnet50-v1-7.staticshape.onnx: static shape model of ResNet50-v1-7, Model Type: onnx, input size: 1x3x224x224, classes: 1000, download.

  • classification/resnet50-v1-7.staticshape.slim.onnx: static shape slim model of ResNet50-v1-7, Model Type: onnx, input size: 1x3x224x224, classes: 1000, download.

  • classification/resnet50-v1-7.staticshape.onnx.json/classification/resnet50-v1-7.staticshape.onnx.safetensor: static shape model of ResNet50-v1-7, Model Type: nndeploy, input size: 1x3x224x224, classes: 1000, download.

  • classification/resnet50-v1-7.onnx.om: ResNet50-v1-7, Model Type: AscendCL(Ascend910B4), input size: 1x3x224x224, classes: 1000, download.

detect

  • detect/yolov11s.onnx: YOLOv11s, Model Type: onnx, input size: Nx640x640x3, classes: 80, download.

  • detect/yolov11s.sim.onnx: onnx sim model of YOLOv11s, Model Type: onnx, input size: 1x640x640x3, classes: 80, download.

  • detect/yolov11s.slim.onnx: onnx slim model of YOLOv11s, Model Type: onnx, input size: 1x640x640x3, classes: 80, download.

  • detect/yolov11s.sim.onnx.json/detect/yolov11s.sim.onnx.safetensor: YOLOv11s, Model Type: nndeploy, input size: 1x640x640x3, classes: 80, download.

  • 检测/yolov11s.onnx.om: YOLOv11s, 模型类型: AscendCL(Ascend910B4), 输入尺寸: 1x640x640x3, 类别: 80, 下载

  • 检测/yolov8n.onnx: YOLOv8n, 模型类型: onnx, 输入尺寸: Nx640x640x3, 类别: 80, 下载

分割

  • 分割/RMBGV1.4.onnx: RMBGV1.4, 模型类型: onnx, 输入尺寸: Nx1x1024x1024, 下载

  • 分割/RMBGV1.4.staticshape.onnx: RMBGV1.4的静态形状模型, 模型类型: onnx, 输入尺寸: 1x1x1024x1024, 下载

  • 分割/RMBGV1.4.sim.onnx: RMBGV1.4的onnx简化模型, 模型类型: onnx, 输入尺寸: 1x1x1024x1024, 下载

  • 分割/RMBGV1.4.slim.onnx: RMBGV1.4的onnx精简模型, 模型类型: onnx, 输入尺寸: 1x1x1024x1024, 下载

  • 分割/RMBGV1.4.slim.onnx.json/分割/RMBGV1.4.slim.onnx.safetensor: RMBGV1.4, 模型类型: nndeploy, 输入尺寸: 1x1x1024x1024, 下载

  • 分割/RMBGV1.4.onnx.om: RMBGV1.4, 模型类型: AscendCL(Ascend910B4), 输入尺寸: 1x1x1024x1024, 下载