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NVIDIA AI Enterprise
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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.
    Model
    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
    TAO Commercial Pretrained NV-CLIP ViT-H Model
    Model
    Pretrained model to generate semantic segmentation labels.
    Model
    3 pose detection model for retail objects.
    Model
    TAO Commercial Pretrained NV-DINOv2 Classification Model
    Model
    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
    Model
    3 pose detection model for retail objects.
    Model
    Pre-trained SegFormer weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    ImageNet NV-DINOV2
    Model
    TAO Commercial Pretrained NV-DINOv2 Classification Model
    Model
    TAO Pretrained Sparse4D with ResNet-101 Backbone
    Model
    monocular relative depth estimation model.
    Model
    Pretrained ConvNextv2 backbone models to facilitate transfer learning for commercially viable models.
    Model
    TAO Commercial Pretrained NV-Dinov2 Model ViT-G backbone
    Model
    TAO Commercial Pretrained C-RADIOv2 Model
    Model
    SegIC
    NVIDIA
    In-context segmentation model trained on commercial data.
    Model
    Single-stage, keypoint-based method for category-level object pose estimation
    Model

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