Neuralet > Models > Jetson Nano
Jetson Nano

Jetson Nano

41

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.

    6

  • TRTPose_DenseNet121

    12

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

    11

  • 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.

    22

  • 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.

    22

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.

    9

  • SegNet_ResNet18_SUN_512x400

    8

    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.

    7

  • 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.

    8

  • 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.

    10

  • 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.

    7

  • 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.

    8

  • 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.

    6

  • 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.

    9

  • 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.

    8

  • 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.

    8

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