Image Classification
- Model
- Task
- Inference Time (ms)
- Throughput (FPS)
- Description
- File
- Repo or Website
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/inception_v1_2016_08_28.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
29
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/inception_v2_2016_08_28.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
14
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/inception_v3_2016_08_28.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
14
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/inception_v4_2016_09_09.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
15
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/inception_resnet_v2_2016_08_30.tar.g
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
14
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/resnet_v1_50_2016_08_28.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
12
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/resnet_v1_101_2016_08_28.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
12
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/resnet_v1_152_2016_08_28.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
15
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/resnet_v2_50_2017_04_14.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
15
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.25_128.tgz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
16
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_0.5_160.tgz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
14
Devices: Jetson Nano, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
16
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/resnet_v2_152_2017_04_14.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
20
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Image Classification
http://download.tensorflow.org/models/resnet_v2_101_2017_04_14.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official classifier by NVIDIA.
16
Object Detection
- Model
- Task
- Inference Time (ms)
- Throughput (FPS)
- Description
- File
- Repo or Website
Devices: Jetson Nano, Jetson Xavier
Tasks: Object Detection
http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2018_01_28.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official object detector model by NVIDIA pre-trained on the MSCOCO dataset on an input size of 300x300 that recognizes 90 classes.
15
Devices: Jetson Nano, Jetson Xavier
Tasks: Object Detection
http://download.tensorflow.org/models/object_detection/ssd_inception_v2_coco_2018_01_28.tar.gz
https://github.com/NVIDIA-AI-IOT/tf_trt_models
Official object detector model by NVIDIA pre-trained on the MSCOCO dataset on an input size of 300x300 that recognizes 90 classes.
17
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Object Detection
https://nvidia.box.com/shared/static/wjitc00ef8j6shjilffibm6r2xxcpigz.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-training.md
A single-class facial recognition detector by NVIDIA.
25
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Object Detection
https://nvidia.box.com/shared/static/r3bq08qh7zb0ap2lf4ysjujdx64j8ofw.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-training.md
A multi-class pedestrian and baggage detector by NVIDIA.
16
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Object Detection
https://nvidia.box.com/shared/static/0wbxo6lmxfamm1dk90l8uewmmbpbcffb.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-training.md
A single-class pedestrian detector by NVIDIA.
18
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Object Detection
https://nvidia.box.com/shared/static/xi71hlsht5b0y66loeg73rxfa73q561s.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-training.md
Official object detector model by NVIDIA pre-trained on the MSCOCO dataset's airplane class that recognizes airplanes.
17
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Object Detection
https://nvidia.box.com/shared/static/fq0m0en5mmssiizhs9nxw3xtwgnoltf2.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-training.md
Official object detector model by NVIDIA pre-trained on the MSCOCO dataset's chair class that recognizes chairs.
17
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Object Detection
https://nvidia.box.com/shared/static/8bhm91o9yldpf97dcz5d0welgmjy7ucw.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-training.md
Official object detector model by NVIDIA pre-trained on the MSCOCO dataset's bottle class that recognizes bottles.
13
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Object Detection
https://nvidia.box.com/shared/static/3qdg3z5qvl8iwjlds6bw7bwi2laloytu.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-training.md
Official object detector model by NVIDIA pre-trained on the MSCOCO dataset's dog class that recognizes dogs.
16
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Object Detection
https://nvidia.box.com/shared/static/8oqvmd79llr6lq1fr43s4fu1ph37v8nt.gz
https://github.com/dusty-nv/jetson-inference
Official object detector model by NVIDIA pre-trained on the MSCOCO dataset on an input size of 300x300 that recognizes 90 classes.
19
Pose Estimation
- Model
- Task
- Inference Time (ms)
- Throughput (FPS)
- Description
- File
- Repo or Website
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Pose Estimation
https://github.com/neuralet/neuralet-models/blob/master/jetson-tx2/pose-estimation-openpifpaf/resnet50-321-481.trt
https://github.com/neuralet/neuralet/tree/master/applications/pose-estimation-tensorrt
Neuralet’s TensorRT-optimized version of OpenPifPaf pose estimation model pre-trained on the MSCOCO dataset on an input resolution of 481x321.
29
Devices: Jetson Nano, Jetson TX2, Jetson Xavier
Tasks: Pose Estimation
https://github.com/neuralet/neuralet-models/blob/master/jetson-tx2/pose-estimation-openpifpaf/resnet50-193-257.trt
https://github.com/neuralet/neuralet/tree/master/applications/pose-estimation-tensorrt
Neuralet’s TensorRT-optimized version of OpenPifPaf pose estimation model pre-trained on the MSCOCO dataset on an input resolution of 257x193.
28
Devices: Jetson Xavier
Tasks: Pose Estimation
https://drive.google.com/open?id=13FkJkx7evQ1WwP54UmdiDXWyFMY1OxDU
https://github.com/NVIDIA-AI-IOT/trt_pose
101
Official pose estimation model by NVIDIA pre-trained on the MSCOCO dataset on an input resolution of 256x256.
13
Devices: Jetson Xavier
Tasks: Pose Estimation
https://drive.google.com/open?id=1XYDdCUdiF2xxx4rznmLb62SdOUZuoNbd
https://github.com/NVIDIA-AI-IOT/trt_pose
251
Official pose estimation model by NVIDIA pre-trained on the MSCOCO dataset on an input resolution of 224x224.
18
Semantic Segmentation
- Model
- Task
- Inference Time (ms)
- Throughput (FPS)
- Description
- File
- Repo or Website
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/z5llxysbcqd8zzzsm7vjqeihs7ihdw20.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
224
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.
14
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/5vs9t2wah5axav11k8o3l9skb7yy3xgd.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
340
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.
12
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/njup7f3vu4mgju89kfre98olwljws5pk.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
375
Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the PASCAL VOC dataset on an input size of 512x320.
12
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/p63pgrr6tm33tn23913gq6qvaiarydaj.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
508
Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the PASCAL VOC dataset on an input size of 320x320.
13
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/50mvlrjwbq9ugkmnnqp1sm99g2j21sfn.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
325
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.
13
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/dgaw0ave3bdws1t5ed333ftx5dbpt9zv.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
370
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.
12
SegNet_ResNet18_DeepScene_864x480
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/gooux9b5nknk8wlk60ou9s2unpo760iq.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
190
Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the DeepScene dataset on an input size of 864x480.
12
SegNet_ResNet18_DeepScene_576x320
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/jm0zlezvweiimpzluohg6453s0u0nvcv.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
360
Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the DeepScene dataset on an input size of 576x320.
18
SegNet_ResNet18_Cityscapes_2048x1024
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/ylh3d2qk8qvitalq8sy803o7avrb6w0h.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
47
Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the Cityscapes dataset on an input size of 2048x1024.
12
SegNet_ResNet18_Cityscapes_1024x512
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/9aqg4gpjmk7ipz4z0raa5mvs35om6emy.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
175
Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the Cityscapes dataset on an input size of 1024x512.
14
SegNet_ResNet18_Cityscapes_512x256
Devices: Jetson Xavier
Tasks: Semantic Segmentation
https://nvidia.box.com/shared/static/k7s7gdgi098309fndm2xbssj553vf71s.gz
https://github.com/dusty-nv/jetson-inference/blob/master/docs/segnet-console-2.md
480
Official model by NVIDIA that allows for semantic segmentation and is pre-trained on the Cityscapes dataset on an input size of 512x256.
14