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NVIDIA AI Enterprise
NVIDIA AI Enterprise
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  • Displaying 64 results
    Semantic segmentation of persons in an image.
      Model
      4 class object detection network to detect cars 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.
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                  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.
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                      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.
                                  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.
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                                      Pretrained weights to facilitate transfer learning using TAO Toolkit.
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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.
                                          Model
                                          Pre-trained EfficientNet backbone weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
                                            Model
                                            End to End workflow for text to speech training with TAO Toolkit and deployment using Riva.
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