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  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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  • Displaying 36 results
    PeopleSemSegnet
    NVIDIA
    Semantic segmentation of persons in an image.
    Model
    TAO Toolkit API Helm
    NVIDIA
    Helm Chart to deploy TAO Toolkit APIs
    Helm Chart
    TAO Pretrained Object Detection
    NVIDIA
    Pretrained weights to facilitate transfer learning using TAO Toolkit.
    Model
    Pre-trained SegFormer ImageNet weights
    -
    Pre-trained SegFormer weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    ReIdentificationNet
    —
    Re-Identification network to generate embeddings for identifying persons in different scenes.
    Model
    Optical Character Detection
    NVIDIA
    Network to detect characters in an image.
    Model
    Pre-trained DINO NvImageNet weights
    —
    Pre-trained DINO weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    Pre-trained FAN based NVImageNet Classification weights
    —
    Pre-trained FAN weights trained on NVImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    PointPillarNet
    NVIDIA
    Model to detect one or more objects from a LIDAR point cloud file and return 3D bounding boxes.
    Model
    Optical Inspection
    —
    Model to detect defects in soldered components on a Printed Circuit Board.
    Model
    Pre-trained FAN based ImageNet Classification weights
    —
    Pre-trained FAN weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    BodyPose3DNet
    NVIDIA
    3D human pose estimation network to predict 34 keypoints in 3D of a person in an image.
    Model
    Pre-trained Deformable DETR NvImageNet weights
    —
    Pre-trained deformable_detr weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    Optical Character Recognition
    NVIDIA
    Model to recognise characters from a preceding OCDNet model.
    Model
    Pose Classification
    NVIDIA
    Pose classification network to classify poses of people from their skeletons.
    Model
    CitySemSegFormer
    NVIDIA
    Semantic segmentation of persons in an image.
    Model
    DINO
    —
    Model trained on COCO2017 to detect and classify objects.
    Model
    Retail Object Recognition
    —
    Embedding generator model to recognize objects on a checkout counter.
    Model
    Retail Object Detection
    —
    DINO (DETR with Improved DeNoising Anchor Boxes) based object detection network to detect retail objects on a checkout counter.
    Model
    Mask Auto Label
    NVIDIA
    Pretrained model to generate semantic segmentation labels.
    Model
    Pre-trained GCViT ImageNet Classification weights
    —
    Pre-trained GCViT weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    Pre-trained EfficientDet NvImageNet backbones
    —
    Pre-trained EfficientNet backbone weights trained on NvImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    Pre-trained DINO ImageNet weights
    —
    Pre-trained DINO weights trained on ImageNet to facilitate transfer learning using TAO Toolkit.
    Model
    CenterPose
    NVIDIA
    3 pose detection model for retail objects.
    Model

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