Object Detection: Available Models
Available Models
While the Object Detection module allows you to link your own private and customized models for object detection, we continuously test, evaluate and add available off-the-shelf models to be used immediately. Currently, we have added followoing models to the Object Detection Node.
Available models to run on CPU
- ssd_mobilenet_v1_coco_2018_01_28
- ssd_inception_v2_coco_2018_01_28
- ssdlite_mobilenet_v2_coco_2018_05_09
- faster_rcnn_inception_v2_coco_2018_01_28
- faster_rcnn_resnet50_coco_2018_01_28
- faster_rcnn_resnet101_coco_2018_01_28
- faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28
- faster_rcnn_inception_resnet_v2_atrous_oid_v4_2018_12_12
- faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28
- efficientdet_d0_coco17_tpu-32
- efficientdet_d4_coco17_tpu-32
- ssd_mobilenet_v2_320x320_coco17_tpu-8
- ssd_resnet50_v1_fpn_640x640_coco17_tpu-8
- faster_rcnn_resnet50_v1_640x640_coco17_tpu-8
- faster_rcnn_resnet101_v1_640x640_coco17_tpu-8
- yolov3
- yolov3_tiny
- yolov4
- yolov4_tiny
Available models to run on VPU (Intel Movidius Myriad X)
- yolov3_FP16_2021
- face-detection-retail-0004
- ssd_mobilenet_v2_coco_2018_03_29
- person-detection-0200
- person-detection-0201
- person-detection-retail-0013
- person-vehicle-bike-detection-2000
- person-vehicle-bike-detection-crossroad-0078
- vehicle-detection-0200
- vehicle-detection-0201
Available models to run on NVIDIA GPU
- ssd_mobilenet_v1_coco_2018_01_28
- ssd_inception_v2_coco_2018_01_28
- ssdlite_mobilenet_v2_coco_2018_05_09
- faster_rcnn_inception_v2_coco_2018_01_28
- faster_rcnn_resnet50_coco_2018_01_28
- faster_rcnn_resnet101_coco_2018_01_28
- faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28
- ssd_mobilenet_v2_oid_v4_2018_12_12
- faster_rcnn_inception_resnet_v2_atrous_oid_v4_2018_12_12
- faster_rcnn_inception_resnet_v2_atrous_oid_2018_01_28
- efficientdet_d0_coco17_tpu-32
- efficientdet_d4_coco17_tpu-32
- ssd_mobilenet_v2_320x320_coco17_tpu-8
- ssd_resnet50_v1_fpn_640x640_coco17_tpu-8
- faster_rcnn_resnet50_v1_640x640_coco17_tpu-8
- faster_rcnn_resnet101_v1_640x640_coco17_tpu-8
- yolov3
- yolov3_tiny
- yolov4
- yolov4_tiny
Available models to run on TPU (Google Coral)
- mobilenet_ssd_v1_coco_quant_postprocess_edgetpu
- mobilenet_ssd_v2_coco_quant_postprocess_edgetpu
Related Articles
Object Segmentation: Available Models
Available Models We continuously test, evaluate and add available off-the-shelf models to be used immediately. Currently, we have added following models to the Object Segmentation Node. Available models to run on CPU ...
Group Keypoint Detection: Available Models
Available Models We continuously test, evaluate and add available off-the-shelf models to be used immediately. Currently, we have added following models to the Group Keypoint Detection Node. Available models to run on CPU resnet50 resnet101 resnet152 ...
Overview Object Detection Node
The Object Detection Node is used to detect several different objects off the shelf with pre-trained or custom deep learning models on GPU, CPU, VPU (Intel Movidius Myriad X) or TPU (Google Coral). Input and Output Input: Frame from a video file, IP ...
Image Classification: Available Models
Available Models We continuously test, evaluate and add available off-the-shelf models to be used immediately. Currently, we have added following models to the Image Classification Node. Available models to run on CPU mobilenet resnet50 vgg19 ...
Overview Object Segmentation Node
The Object Segmentation Node is used to segment several different objects off the shelf with pre-trained or custom deep learning models on GPU, CPU, VPU (Myriad) and TPU. Input and Output Input: Frame from a video file, IP or USB camera. Output: MQTT ...