https://github.com/dmlc/mxnet-model-gallery

Pre-trained Models of DMLC Project
https://github.com/dmlc/mxnet-model-gallery

Last synced: 3 months ago
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Pre-trained Models of DMLC Project

• Host: GitHub
• URL: https://github.com/dmlc/mxnet-model-gallery
• Owner: dmlc
• License: other
• Created: 2015-10-23T22:24:50.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2021-04-15T07:53:23.000Z (over 3 years ago)
• Last Synced: 2024-07-18T17:56:58.561Z (4 months ago)
• Size: 27.3 KB
• Stars: 266
• Watchers: 31
• Forks: 75
• Open Issues: 25
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
 *Model Gallery*

=====

[![GitHub license](https://img.shields.io/badge/licence-cc0-blue.svg)](./LICENSE)

All models are hosted at http://data.dmlc.ml/mxnet/models/ and licensed under CC0.

### [CaffeNet](imagenet-1k-caffenet.md)

This model is a pretrained model on ILSVRC2012 dataset. This model is able to achieve 54.5% Top-1 Accuracy and 78.3% Top-5 accuracy on ILSVRC2012-Validation Set.

### [NIN](imagenet-1k-nin.md)

This model is a pretrained model on ILSVRC2012 dataset. This model is able to achieve 58.8% Top-1 Accuracy and 81.3% Top-5 accuracy on ILSVRC2012-Validation Set.

### [SqueezeNet](imagenet-1k-squeezenet.md)

This model is a pretrained model on ILSVRC2012 dataset. This model is able to achieve 55.4% Top-1 Accuracy and 78.8% Top-5 accuracy on ILSVRC2012-Validation Set.

### [VGG16](imagenet-1k-vgg.md)

This model is a pretrained model on ILSVRC2012 dataset. This model is able to achieve 71.0% Top-1 Accuracy and 89.8% Top-5 accuracy on ILSVRC2012-Validation Set.

### [VGG19](imagenet-1k-vgg.md)

This model is a pretrained model on ILSVRC2012 dataset. This model is able to achieve 71.0% Top-1 Accuracy and 89.8% Top-5 accuracy on ILSVRC2012-Validation Set.

### [Inception-BN Network](imagenet-1k-inception-bn.md)

This model is a pretrained model on ILSVRC2012 dataset. This model is able to achieve 72.5% Top-1 Accuracy and 90.8% Top-5 accuracy on ILSVRC2012-Validation Set.

### [Inception-V3 Network](imagenet-1k-inception-v3.md)

This model is converted from TensorFlow released pretrained model. By single crop on 299 x 299 image from 384 x 384 image, this model is able to achieve 76.88% Top-1 Accuracy and 93.344% Top-5 Accuracy on ILSVRC2012-Validation Set.

### [Full ImageNet Network](imagenet-21k-inception.md)

This model is a pretrained model on full imagenet dataset with 14,197,087 images in 21,841 classes. The model is trained by only random crop and mirror augmentation. This model is able to achieve 37.19% Top-1 accuracy on training data. This model is about 50% more complex than standard Inception-BN Network