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NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • Displaying 35 results
    Semantic segmentation of persons in an image.
      Model
      Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
        Model
        Sample notebooks for TAO Toolkit Computer Vision workflows.
        Resource
        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.
              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.
                  Model
                  Model to detect defects in soldered components on a Printed Circuit Board.
                    Model
                    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
                        Model to recognise characters from a preceding OCDNet model.
                          Model
                          Pose classification network to classify poses of people from their skeletons.
                            Model
                            Semantic segmentation of persons in an image.
                              Model
                              Embedding generator model to recognize objects on a checkout counter.
                                Model
                                DINO
                                Model trained on COCO2017 to detect and classify objects.
                                  Model
                                  DINO (DETR with Improved DeNoising Anchor Boxes) based object detection network to detect retail objects on a checkout counter.
                                    Model
                                    Pretrained model to generate semantic segmentation labels.
                                      Model
                                      Pre-trained GCViT weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
                                        Model
                                        Pre-trained EfficientNet backbone weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
                                          Model
                                          Pre-trained DINO weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
                                            Model
                                            3 pose detection model for retail objects.
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                                              Pre-trained segformer models trained on CityScapes.
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                                                Model trained on COCO2017 to detect and classify objects.
                                                  Model

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