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NVIDIA AI Enterprise
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  • Displaying 58 results
    Semantic segmentation of persons in an image.
      Model
      5 class action recognition network to recognize what people do in an image.
        Model
        Open vocabulary multi-modal instance segmentation model trained on commercial data.
          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.
              Model
              SWIN Transformer based Re-Identification network to generate embeddings for identifying persons in different scenes.
                Model
                NVIDIA
                NVIDIA
                LPDNet
                Object Detection network to detect license plates in an image of a car.
                  Model
                  Re-Identification network to generate embeddings for identifying persons in different scenes.
                    Model
                    Network to detect characters in an image.
                      Model
                      Pre-trained DINO weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
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                        Binary instance segmentation model trained on COCO data.
                          Model
                          Pre-trained FAN weights trained on NVImageNet to facilitate transfer learning using TAO Toolkit.
                            Model
                            Model to detect one or more objects from a LIDAR point cloud file and return 3D bounding boxes.
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                              Model to detect defects in soldered components on a Printed Circuit Board.
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                                Pre-trained FAN weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
                                  Model
                                  Pre-trained deformable_detr weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
                                    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.
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                                        Pose classification network to classify poses of people from their skeletons.
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                                          Model to recognise characters from a preceding OCDNet model.
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                                            Visual ChangeNet - Classification Models
                                              Model
                                              Semantic segmentation of persons in an image.
                                                Model
                                                Embedding generator model to recognize objects on a checkout counter.
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                                                  DINO
                                                  Model trained on COCO2017 to detect and classify objects.
                                                    Model

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