Skip to content

Mxnet models (includimg classification, detection and segmentation) and deploy files for famouse networks

Notifications You must be signed in to change notification settings

soeaver/mxnet-model

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

60 Commits
 
 
 
 

Repository files navigation

mxnet-model

MXNet models (only classification for now) and deploy prototxt for resnet, resnext, inception_v3, inception_v4, inception_resnet, wider_resnet, densenet, DPNs and other networks.

We recommend using these MXNet models with official MXNet repository

Please install MXNet for evaluating and finetuning.

Disclaimer

Most of the pre-train models are converted from other projects, the main contribution belongs to the original authors.

Project links:

pytorch-classificationmxnet-model-gallerytensorflow slimcraftGBDResNeXtkeras deep-learning-modelsDPNSSenet

CLS (Classification, more details are in cls)

Performance on imagenet validation.

Top-1/5 error of pre-train models in this repository (Pre-train models download urls).

Network 224/299
(single-crop)
320/395
(single-crop)
Download
resnet101_v2 21.89/6.01 20.44/5.22 170.3MB(BaiduCloud)
resnet152_v2 20.71/5.42 19.65/4.75 230.2MB(BaiduCloud)
resnet269_v2 19.73/4.99 18.64/4.33 390.4MB(BaiduCloud)
resnext50_32x4d 22.38/6.31 21.10/5.52 95.8MB(BaiduCloud)
resnext101_32x4d 21.33/5.80 19.92/4.97 169.1MB(BaiduCloud)
resnext101_64x4d 20.60/5.41 19.26/4.63 391.2MB(BaiduCloud)
inception_v3 21.70/5.75 .. 91.1MB(BaiduCloud)
inception_v4 20.03/5.09 .. 163.1MB(BaiduCloud)
inception_resnet_v2 19.86/4.83 .. 213.3MB(BaiduCloud)
xception 20.89/5.48 .. 87.4MB(BaiduCloud)
air101 21.32/5.77 .. 246.2MB(BaiduCloud)
dpn-92-extra 19.98/5.06 19.00/4.37 145MB(GoogleDrive)
dpn107-extra 19.75/4.94 18.34/4.19 333MB(GoogleDrive)
se-resnet50 22.39/6.37 20.50/5.23 107.4MB(BaiduCloud)
se-resnext50-32x4d 20.96/5/54 19.35/4.66 105.4MB(BaiduCloud)
se-inception-v2 23.64/7.05 21.61/5.88 45.6MB(BaiduCloud)
  • 224x224(base_size=256) and 320x320(base_size=320) crop size for resnet-v2/resnext, 299x299(base_size=320) and 395x395(base_size=395) crop size for inception.

About

Mxnet models (includimg classification, detection and segmentation) and deploy files for famouse networks

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages