Neuralet > Model Garden > Jetson Nano

    Jetson Nano

    41 Models
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    Image Classification

    • Model
    • Task
    • Inference Time (ms)
    • Throughput (FPS)
    • Description
    • File
    • Repo or Website

    Object Detection

    • Model
    • Task
    • Inference Time (ms)
    • Throughput (FPS)
    • Description
    • File
    • Repo or Website

    Pose Estimation

    • Model
    • Task
    • Inference Time (ms)
    • Throughput (FPS)
    • Description
    • File
    • Repo or Website
    • TRTPose_ResNet18

      22

      Official pose estimation model by NVIDIA pre-trained on the MSCOCO dataset on an input resolution of 224x224.

      119

    • TRTPose_DenseNet121

      12

      Official pose estimation model by NVIDIA pre-trained on the MSCOCO dataset on an input resolution of 256x256.

      114

    • OpenPifPaf_ResNet50_481x321

      Neuralet’s TensorRT-optimized version of OpenPifPaf pose estimation model pre-trained on the MSCOCO dataset on an input resolution of 481x321.

      134

    • OpenPifPaf_ResNet50_257x193

      Neuralet’s TensorRT-optimized version of OpenPifPaf pose estimation model pre-trained on the MSCOCO dataset on an input resolution of 257x193.

      137

    Semantic Segmentation

    • Model
    • Task
    • Inference Time (ms)
    • Throughput (FPS)
    • Description
    • File
    • Repo or Website
    • SegNet_ResNet18_SUN_640x512

      17

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the SUN RGB-D dataset on an input size of 640x512.

      183

    • SegNet_ResNet18_SUN_512x400

      108

      28

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the SUN RGB-D dataset on an input size of 512x400.

    • SegNet_ResNet18_VOC_512x320

      34

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the PASCAL VOC dataset on an input size of 512x320.

      114

    • SegNet_ResNet18_VOC_320x320

      45

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the PASCAL VOC dataset on an input size of 320x320.

      110

    • SegNet_ResNet18_MHP_640x360

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the Multi-Human Parsing: MHP dataset on an input size of 640x360.

      104

    • SegNet_ResNet18_MHP_512x320

      34

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the Multi-Human Parsing: MHP dataset on an input size of 512x320.

      112

    • SegNet_ResNet18_DeepScene_864x480

      14

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the DeepScene dataset on an input size of 864x480.

      108

    • SegNet_ResNet18_DeepScene_576x320

      26

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the DeepScene dataset on an input size of 576x320.

      107

    • SegNet_ResNet18_Cityscapes_2048x1024

      3

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the Cityscapes dataset on an input size of 2048x1024.

      112

    • SegNet_ResNet18_Cityscapes_1024x512

      12

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the Cityscapes dataset on an input size of 1024x512.

      102

    • SegNet_ResNet18_Cityscapes_512x256

      48

      Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the Cityscapes dataset on an input size of 512x256.

      111

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