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NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • NVIDIA NIM
    NVIDIA NIM
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    NIM Container GPUs
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    NVIDIA Platform
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  • Displaying 26 results
    Open vocabulary multi-modal instance segmentation model trained on commercial data.
      Model
      4 class object detection model for traffic intersections
        Model
        Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
          Model
          Open vocabulary multi-modal object detection model trained on commercial data.
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            Binary instance segmentation model trained on COCO data.
              Model
              3D human pose estimation network to predict 34 keypoints in 3D of a person in an image.
                Model
                BEVFusion model to detect 3D objects from point cloud and RGB data.
                  Model
                  NVIDIA AI Enterprise
                  TAO Commercial Pretrained NV-CLIP ViT-H Model
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                    Pretrained model to generate semantic segmentation labels.
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                      3 pose detection model for retail objects.
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                        NVIDIA AI Enterprise
                        TAO Commercial Pretrained NV-DINOv2 Classification Model
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                        3 class object detection network to detect people in an image.
                          Model
                          6-DoF object pose estimation and tracking, providing the object pose and 3D bounding box
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                            3 pose detection model for retail objects.
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                              Pre-trained SegFormer weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
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                                TAO Commercial Pretrained NV-DINOv2 Classification Model
                                Model
                                NVIDIA AI Enterprise
                                ImageNet NV-DINOV2
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                                TAO Pretrained Sparse4D with ResNet-101 Backbone
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                                  Pretrained ConvNextv2 backbone models to facilitate transfer learning for commercially viable models.
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                                    monocular relative depth estimation model.
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                                      TAO Commercial Pretrained NV-Dinov2 Model ViT-G backbone
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                                        TAO Commercial Pretrained C-RADIOv2 Model
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                                        NVIDIA
                                        NVIDIA
                                        SegIC
                                        In-context segmentation model trained on commercial data.
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                                          Single-stage, keypoint-based method for category-level object pose estimation
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