| Model | Availability in OMZ (2023.02.24) | Availability in the validation table |
|---|---|---|
| alexnet | + | + |
| darknet53 | + | + |
| densenet121 | + | + |
| densenet161 | + | + |
| densenet169 | + | + |
| densenet201 | + | + |
| googlenet | + | + |
| hrnet_w18_c | + | + |
| hrnet_w18_small_v1_c | + | + |
| hrnet_w18_small_v2_c | + | + |
| hrnet_w30_c | + | + |
| hrnet_w32_c | + | + |
| hrnet_w40_c | + | + |
| hrnet_w44_c | + | + |
| hrnet_w48_c | + | + |
| hrnet_w64_c | + | + |
| inceptionv3 | + | + |
| mobilenet0.25 | + | + |
| mobilenet0.5 | + | + |
| mobilenet0.75 | + | + |
| mobilenet1.0 | + | + |
| mobilenet1.0_int8 | + | + |
| mobilenetv2_0.25 | + | + |
| mobilenetv2_0.5 | + | + |
| mobilenetv2_0.75 | + | + |
| mobilenetv2_1.0 | + | + |
| mobilenetv3_large | + | + |
| mobilenetv3_small | + | + |
| residualattentionnet128 | + | Error (Parameter 'residualattentionmodel0_hybridsequential0_conv0_weight' has not been initialized) |
| residualattentionnet164 | + | Error (Parameter 'residualattentionmodel0_hybridsequential0_conv0_weight' has not been initialized) |
| residualattentionnet200 | + | Error (Parameter 'residualattentionmodel0_hybridsequential0_conv0_weight' has not been initialized) |
| residualattentionnet236 | + | Error (Parameter 'residualattentionmodel0_hybridsequential0_conv0_weight' has not been initialized) |
| residualattentionnet452 | + | Error (Parameter 'residualattentionmodel0_hybridsequential0_conv0_weight' has not been initialized) |
| residualattentionnet56 | + | Error (Parameter 'residualattentionmodel0_hybridsequential0_conv0_weight' has not been initialized) |
| residualattentionnet92 | + | Error (Parameter 'residualattentionmodel0_hybridsequential0_conv0_weight' has not been initialized) |
| resnest101 | + | + |
| resnest14 | + | + |
| resnest200 | + | + |
| resnest26 | + | + |
| resnest269 | + | + |
| resnest50 | + | + |
| resnet101_v1 | + | + |
| resnet101_v1b | + | + |
| resnet101_v1c | + | + |
| resnet101_v1d | + | + |
| resnet101_v1d_0.73 | + | + |
| resnet101_v1d_0.76 | + | + |
| resnet101_v1e | + | Error (Failed loading Parameter 'resnetv1e_batchnorm2_gamma' from saved params: shape incompatible expected (128,) vs saved (64,)) |
| resnet101_v1s | + | + |
| resnet101_v2 | + | + |
| resnet152_v1 | + | + |
| resnet152_v1b | + | + |
| resnet152_v1c | + | + |
| resnet152_v1d | + | + |
| resnet152_v1e | + | Error (Failed loading Parameter 'resnetv1e_batchnorm2_gamma' from saved params: shape incompatible expected (128,) vs saved (64,)) |
| resnet152_v1s | + | + |
| resnet152_v2 | + | + |
| resnet18_v1 | + | + |
| resnet18_v1b | + | + |
| resnet18_v1b_0.89 | + | + |
| resnet18_v1b_custom | + | + |
| resnet18_v2 | + | + |
| resnet34_v1 | + | + |
| resnet34_v1b | + | + |
| resnet34_v2 | + | + |
| resnet50_v1 | + | + |
| resnet50_v1_int8 | + | + |
| resnet50_v1b | + | + |
| resnet50_v1b_custom | + | + |
| resnet50_v1b_gn | + | + |
| resnet50_v1c | + | + |
| resnet50_v1d | + | + |
| resnet50_v1d_0.11 | + | + |
| resnet50_v1d_0.37 | + | + |
| resnet50_v1d_0.48 | + | + |
| resnet50_v1d_0.86 | + | + |
| resnet50_v1e | + | Error (Failed loading Parameter 'resnetv1e_batchnorm0_gamma' from saved params: shape incompatible expected (64,) vs saved (32,)) |
| resnet50_v1s | + | + |
| resnet50_v2 | + | + |
| resnext101_32x4d | + | + |
| resnext101_64x4d | + | + |
| resnext50_32x4d | + | + |
| se_resnext101_32x4d | + | + |
| se_resnext101_64x4d | + | + |
| se_resnext50_32x4d | + | + |
| senet_154 | + | + |
| senet_154e | + | Error (Parameter 'features.11.0.downsample.1.weight' is missing...) |
| squeezenet1.0 | + | + |
| squeezenet1.1 | + | + |
| shufflenet_v1 | + | Error (Parameter 'shufflenetv10_conv0_weight' has not been initialized) |
| shufflenet_v2 | + | Error (Parameter 'shufflenetv20_conv0_weight' has not been initialized) |
| vgg11 | + | + |
| vgg11_bn | + | + |
| vgg13 | + | + |
| vgg13_bn | + | + |
| vgg16 | + | + |
| vgg16_bn | + | + |
| vgg19 | + | + |
| vgg19_bn | + | + |
| xception | + | + |
| Model | Availability in OMZ (2023.02.24) | Availability in the validation table |
|---|---|---|
| custom_faster_rcnn_fpn | + | TypeError: custom_faster_rcnn_fpn() missing 1 required positional argument: 'classes' |
| center_net_dla34_coco | + | Pretrained model for center_net_dla34_coco is not available. |
| center_net_dla34_dcnv2_coco | + | Pretrained model for center_net_dla34_dcnv2_coco is not available. |
| center_net_dla34_dcnv2_voc | + | Pretrained model for center_net_dla34_dcnv2_voc is not available. |
| center_net_dla34_voc | + | Pretrained model for center_net_dla34_voc is not available. |
| center_net_mobilenetv3_large_duc_coco | + | + |
| center_net_mobilenetv3_large_duc_voc | + | + |
| center_net_mobilenetv3_small_duc_coco | + | + |
| center_net_mobilenetv3_small_duc_voc | + | + |
| center_net_resnet101_v1b_coco | + | + |
| center_net_resnet101_v1b_dcnv2_coco | + | + |
| center_net_resnet101_v1b_dcnv2_voc | + | + |
| center_net_resnet101_v1b_voc | + | + |
| center_net_resnet18_v1b_coco | + | + |
| center_net_resnet18_v1b_dcnv2_coco | + | + |
| center_net_resnet18_v1b_dcnv2_voc | + | + |
| center_net_resnet18_v1b_voc | + | + |
| center_net_resnet50_v1b_coco | + | + |
| center_net_resnet50_v1b_dcnv2_coco | + | + |
| center_net_resnet50_v1b_dcnv2_voc | + | + |
| center_net_resnet50_v1b_voc | + | + |
| doublehead_rcnn_resnet50_v1b_voc | + | RuntimeError: Parameter 'doubleheadrcnn0_double_fc_dense0_weight' has not been initialized. |
| dla34 | + | - |
| faster_rcnn_fpn_resnet101_v1d_coco | + | + |
| faster_rcnn_fpn_resnet50_v1b_coco | + | + |
| faster_rcnn_fpn_syncbn_resnest101_coco | + | + |
| faster_rcnn_fpn_syncbn_resnest269_coco | + | + |
| faster_rcnn_fpn_syncbn_resnest50_coco | + | + |
| faster_rcnn_fpn_syncbn_resnet101_v1d_coco | + | Pretrained model for faster_rcnn_fpn_syncbn_resnet101_v1d_coco is not available. |
| faster_rcnn_fpn_syncbn_resnet50_v1b_coco | + | Pretrained model for faster_rcnn_fpn_syncbn_resnet50_v1b_coco is not available. |
| faster_rcnn_resnet101_v1d_coco | + | + |
| faster_rcnn_resnet101_v1d_custom | + | TypeError: faster_rcnn_resnet101_v1d_custom() missing 1 required positional argument: 'classes' |
| faster_rcnn_resnet101_v1d_voc | + | Pretrained model for faster_rcnn_resnet101_v1d_voc is not available. |
| faster_rcnn_resnet50_v1b_coco | + | + |
| faster_rcnn_resnet50_v1b_custom | + | TypeError: faster_rcnn_resnet50_v1b_custom() missing 1 required positional argument: 'classes' |
| faster_rcnn_resnet50_v1b_voc | + | + |
| ssd_300_mobilenet0.25_coco | + | Pretrained model for ssd_300_mobilenet0.25_coco is not available. |
| ssd_300_mobilenet0.25_custom | + | TypeError: ssd_300_mobilenet0_25_custom() missing 1 required positional argument: 'classes' |
| ssd_300_mobilenet0.25_voc | + | Pretrained model for ssd_300_mobilenet0.25_voc is not available. |
| ssd_300_mobilenet1.0_lite_coco | + | Pretrained model for ssd_300_mobilenet1.0_coco is not available. |
| ssd_300_resnet34_v1b_coco | + | + |
| ssd_300_resnet34_v1b_custom | + | TypeError: ssd_300_resnet34_v1b_custom() missing 1 required positional argument: 'classes' |
| ssd_300_resnet34_v1b_voc | + | Pretrained model for ssd_300_resnet34_v1b_voc is not available. |
| ssd_300_vgg16_atrous_coco | + | + |
| ssd_300_vgg16_atrous_custom | + | TypeError: ssd_300_vgg16_atrous_custom() missing 1 required positional argument: 'classes' |
| ssd_300_vgg16_atrous_voc | + | + |
| ssd_300_vgg16_atrous_voc_int8 | + | - |
| ssd_512_mobilenet1.0_coco | + | + |
| ssd_512_mobilenet1.0_custom | + | TypeError: ssd_512_mobilenet1_0_custom() missing 1 required positional argument: 'classes' |
| ssd_512_mobilenet1.0_voc | + | + |
| ssd_512_mobilenet1.0_voc_int8 | + | - |
| ssd_512_resnet101_v2_voc | + | + |
| ssd_512_resnet152_v2_voc | + | Pretrained model for ssd_512_resnet152_v2_voc is not available. |
| ssd_512_resnet18_v1_coco | + | Pretrained model for ssd_512_resnet18_v1_coco is not available. |
| ssd_512_resnet18_v1_voc | + | Pretrained model for ssd_512_resnet18_v1_voc is not available. |
| ssd_512_resnet50_v1_coco | + | + |
| ssd_512_resnet50_v1_custom | + | TypeError: ssd_512_resnet50_v1_custom() missing 1 required positional argument: 'classes' |
| ssd_512_resnet50_v1_voc | + | + |
| ssd_512_resnet50_v1_voc_int8 | + | - |
| ssd_512_vgg16_atrous_coco | + | + |
| ssd_512_vgg16_atrous_custom | + | TypeError: ssd_512_vgg16_atrous_custom() missing 1 required positional argument: 'classes' |
| ssd_512_vgg16_atrous_voc | + | + |
| ssd_512_vgg16_atrous_voc_int8 | + | - |
| yolo3_darknet53_coco | + | + |
| yolo3_darknet53_custom | + | TypeError: yolo3_darknet53_custom() missing 1 required positional argument: 'classes' |
| yolo3_darknet53_voc | + | + |
| yolo3_mobilenet0.25_coco | + | Pretrained model for yolo3_mobilenet0.25_coco is not available. |
| yolo3_mobilenet0.25_custom | + | TypeError: yolo3_mobilenet0_25_custom() missing 1 required positional argument: 'classes' |
| yolo3_mobilenet0.25_voc | + | Pretrained model for yolo3_mobilenet0.25_voc is not available. |
| yolo3_mobilenet1.0_coco | + | + |
| yolo3_mobilenet1.0_custom | + | TypeError: yolo3_mobilenet1_0_custom() missing 1 required positional argument: 'classes' |
| yolo3_mobilenet1.0_voc | + | + |
| Model | Availability in OMZ (2023.02.24) | Availability in the validation table |
|---|---|---|
| danet_resnet101_citys | + | + |
| danet_resnet50_citys | + | + |
| deeplab_resnest101_ade | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnest200_ade | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnest269_ade | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnest50_ade | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnet101_ade | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnet101_citys | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnet101_coco | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnet101_coco_int8 | + | - |
| deeplab_resnet101_voc | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnet101_voc_int8 | + | - |
| deeplab_resnet152_coco | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnet152_voc | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnet50_ade | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_resnet50_citys | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,256,60,60] |
| deeplab_v3b_plus_wideresnet_citys | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,60,60], got [1,256,80,80] |
| fastscnn_citys | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,16,16], got [1,32,32,32] |
| fcn_resnet101_ade | + | - |
| fcn_resnet101_coco | + | + |
| fcn_resnet101_coco_int8 | + | - |
| fcn_resnet101_voc | + | + |
| fcn_resnet101_voc_int8 | + | - |
| fcn_resnet50_ade | + | - |
| fcn_resnet50_voc | + | Pretrained model for fcn_resnet50_voc is not available. |
| hrnet_w18_small_v1_s | + | Pretrained model for hrnet_w18_small_v1_seg is not available. |
| hrnet_w18_small_v2_s | + | Pretrained model for hrnet_w18_small_v2_seg is not available. |
| hrnet_w48_s | + | Pretrained model for hrnet_w48_seg is not available. |
| icnet_resnet50_citys | + | MXNetError: Check failed: l == 1 |
| icnet_resnet50_mhpv1 | + | MXNetError: Check failed: l == 1 |
| nasnet_4_1056 | + | Pretrained model for nasnet_4_1056 is not available. |
| nasnet_5_1538 | + | Pretrained model for nasnet_5_1538 is not available. |
| nasnet_6_4032 | + | Pretrained model for nasnet_6_4032 is not available. |
| nasnet_7_1920 | + | Pretrained model for nasnet_7_1920 is not available. |
| psp_resnet101_ade | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,512,60,60] |
| psp_resnet101_citys | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,512,60,60] |
| psp_resnet101_coco | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,512,60,60] |
| psp_resnet101_coco_int8 | + | - |
| psp_resnet101_voc | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,512,60,60] |
| psp_resnet101_voc_int8 | + | - |
| psp_resnet50_ade | + | MXNetError: Check failed: shape_assign(&(*in_shape)[i], dshape): Incompatible input shape: expected [1,-1,64,64], got [1,512,60,60] |
| Model | Availability in OMZ (2023.02.24) | Availability in the validation table |
|---|---|---|
| custom_mask_rcnn_fpn | + | - |
| mask_rcnn_fpn_resnet101_v1d_coco | + | - |
| mask_rcnn_fpn_resnet18_v1b_coco | + | - |
| mask_rcnn_fpn_resnet50_v1b_coco | + | - |
| mask_rcnn_fpn_syncbn_mobilenet1_0_coco | + | - |
| mask_rcnn_fpn_syncbn_resnet18_v1b_coco | + | - |
| mask_rcnn_resnet101_v1d_coco | + | - |
| mask_rcnn_resnet18_v1b_coco | + | - |
| mask_rcnn_resnet50_v1b_coco | + | - |
| Model | Availability in OMZ (2023.02.24) | Availability in the validation table |
|---|---|---|
| alpha_pose_resnet101_v1b_coco | + | - |
| mobile_pose_mobilenet1.0 | + | - |
| mobile_pose_mobilenetv2_1.0 | + | - |
| mobile_pose_mobilenetv3_large | + | - |
| mobile_pose_mobilenetv3_small | + | - |
| mobile_pose_resnet18_v1b | + | - |
| mobile_pose_resnet50_v1b | + | - |
| simple_pose_resnet101_v1b | + | - |
| simple_pose_resnet101_v1b_int8 | + | - |
| simple_pose_resnet101_v1d | + | - |
| simple_pose_resnet101_v1d_int8 | + | - |
| simple_pose_resnet152_v1b | + | - |
| simple_pose_resnet152_v1d | + | - |
| simple_pose_resnet18_v1b | + | - |
| simple_pose_resnet18_v1b_int8 | + | - |
| simple_pose_resnet50_v1b | + | - |
| simple_pose_resnet50_v1b_int8 | + | - |
| simple_pose_resnet50_v1d | + | - |
| simple_pose_resnet50_v1d_int8 | + | - |
| Model | Availability in OMZ (2023.02.24) | Availability in the validation table |
|---|---|---|
| c3d_kinetics400 | + | - |
| i3d_inceptionv1_kinetics400 | + | - |
| i3d_inceptionv3_kinetics400 | + | - |
| i3d_nl10_resnet101_v1_kinetics400 | + | - |
| i3d_nl10_resnet50_v1_kinetics400 | + | - |
| i3d_nl5_resnet101_v1_kinetics400 | + | - |
| i3d_nl5_resnet50_v1_kinetics400 | + | - |
| i3d_resnet101_v1_kinetics400 | + | - |
| i3d_resnet50_v1_custom | + | - |
| i3d_resnet50_v1_hmdb51 | + | - |
| i3d_resnet50_v1_kinetics400 | + | - |
| i3d_resnet50_v1_sthsthv2 | + | - |
| i3d_resnet50_v1_ucf101 | + | - |
| i3d_slow_resnet101_f16s4_kinetics700 | + | - |
| inceptionv1_hmdb51 | + | - |
| inceptionv1_kinetics400 | + | - |
| inceptionv1_sthsthv2 | + | - |
| inceptionv1_ucf101 | + | - |
| inceptionv3_hmdb51 | + | - |
| inceptionv3_kinetics400 | + | - |
| inceptionv3_kinetics400_int8 | + | - |
| inceptionv3_sthsthv2 | + | - |
| inceptionv3_ucf101 | + | - |
| inceptionv3_ucf101_int8 | + | - |
| p3d_resnet101_kinetics400 | + | - |
| p3d_resnet50_kinetics400 | + | - |
| r2plus1d_resnet101_kinetics400 | + | - |
| r2plus1d_resnet152_kinetics400 | + | - |
| r2plus1d_resnet18_kinetics400 | + | - |
| r2plus1d_resnet34_kinetics400 | + | - |
| r2plus1d_resnet50_kinetics400 | + | - |
| resnet101_v1b_kinetics400 | + | - |
| resnet101_v1b_sthsthv2 | + | - |
| resnet152_v1b_kinetics400 | + | - |
| resnet152_v1b_sthsthv2 | + | - |
| resnet18_v1b_kinetics400 | + | - |
| resnet18_v1b_kinetics400_int8 | + | - |
| resnet18_v1b_sthsthv2 | + | - |
| resnet34_v1b_kinetics400 | + | - |
| resnet34_v1b_sthsthv2 | + | - |
| resnet50_v1b_hmdb51 | + | - |
| resnet50_v1b_kinetics400 | + | - |
| resnet50_v1b_kinetics400_int8 | + | - |
| resnet50_v1b_sthsthv2 | + | - |
| resnet50_v1b_ucf101 | + | - |
| slowfast_16x8_resnet101_50_50_kinetics400 | + | - |
| slowfast_16x8_resnet101_kinetics400 | + | - |
| slowfast_4x16_resnet101_kinetics400 | + | - |
| slowfast_4x16_resnet50_custom | + | - |
| slowfast_4x16_resnet50_kinetics400 | + | - |
| slowfast_8x8_resnet101_kinetics400 | + | - |
| slowfast_8x8_resnet50_kinetics400 | + | - |
| vgg16_hmdb51 | + | - |
| vgg16_kinetics400 | + | - |
| vgg16_sthsthv2 | + | - |
| vgg16_ucf101 | + | - |
| vgg16_ucf101_int8 | + | - |
| Model | Availability in OMZ (2023.02.24) | Availability in the validation table |
|---|---|---|
| monodepth2_resnet18_kitti_mono_640x192 | + | - |
| monodepth2_resnet18_kitti_mono_stereo_640x192 | + | - |
| monodepth2_resnet18_kitti_stereo_640x192 | + | - |
| monodepth2_resnet18_posenet_kitti_mono_640x192 | + | - |
| monodepth2_resnet18_posenet_kitti_mono_stereo_640x192 | + | - |
| Model | Availability in OMZ (2023.02.24) | Availability in the validation table |
|---|---|---|
| cifar_residualattentionnet452 | + | - |
| cifar_residualattentionnet56 | + | - |
| cifar_residualattentionnet92 | + | - |
| cifar_resnet110_v1 | + | - |
| cifar_resnet110_v2 | + | - |
| cifar_resnet20_v1 | + | - |
| cifar_resnet20_v2 | + | - |
| cifar_resnet56_v1 | + | - |
| cifar_resnet56_v2 | + | - |
| cifar_resnext29_16x64d | + | - |
| cifar_resnext29_32x4d | + | - |
| cifar_wideresnet16_10 | + | - |
| cifar_wideresnet28_10 | + | - |
| cifar_wideresnet40_8 | + | - |
| Model | Availability in OMZ (2023.02.24) | Availability in the validation table |
|---|---|---|
| siamrpn_alexnet_v2_otb15 | + | - |