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NVIDIA AI Enterprise
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  • Displaying 36 results
    Semantic segmentation of persons in an image.
      Model
      Helm Chart to deploy TAO Toolkit APIs
        Helm Chart
        Pretrained weights to facilitate transfer learning using TAO Toolkit.
        Model
        Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
          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.
                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
                          3D human pose estimation network to predict 34 keypoints in 3D of a person in an image.
                            Model
                            Pose classification network to classify poses of people from their skeletons.
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                              Model to recognise characters from a preceding OCDNet model.
                                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
                                      DINO (DETR with Improved DeNoising Anchor Boxes) based object detection network to detect retail objects on a checkout counter.
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                                        Pretrained model to generate semantic segmentation labels.
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                                          Pre-trained GCViT weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
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                                            Pre-trained EfficientNet backbone weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
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                                              Pre-trained DINO weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
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                                                3 pose detection model for retail objects.
                                                  Model

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