Other Open Access

resnet50.tensorflow model

https://github.com/mlperf/training/tree/master/image_classification; https://github.com/tensorflow/models/tree/master/official/resnet


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.2535873</identifier>
  <creators>
    <creator>
      <creatorName>https://github.com/mlperf/training/tree/master/image_classification</creatorName>
    </creator>
    <creator>
      <creatorName>https://github.com/tensorflow/models/tree/master/official/resnet</creatorName>
    </creator>
  </creators>
  <titles>
    <title>resnet50.tensorflow model</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Image Classification, resnet50, tensorflow, Inference, Imagenet2012, Inference, Pretrained Model</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-01-08</date>
  </dates>
  <resourceType resourceTypeGeneral="Other"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2535873</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2535872</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/mlperf</relatedIdentifier>
  </relatedIdentifiers>
  <version>0.1</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/Apache-2.0">Apache License 2.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;ul&gt;
	&lt;li&gt;&lt;strong&gt;Application:&amp;nbsp;&lt;/strong&gt;Image Classification&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;ML Task:&lt;/strong&gt;&amp;nbsp;ResNet-50&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Framework:&lt;/strong&gt;&amp;nbsp;tensorflow&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Training Information:&amp;nbsp;&lt;/strong&gt;&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Quality:&lt;/strong&gt;&amp;nbsp;76.53%&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Precision:&lt;/strong&gt;&amp;nbsp;fp32&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Is Quantized:&amp;nbsp;&lt;/strong&gt;no&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Is ONNX:&amp;nbsp;&lt;/strong&gt;no&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;Dataset:&amp;nbsp;&lt;/strong&gt;http://www.image-net.org/challenges/LSVRC/2012/&lt;/li&gt;
&lt;/ul&gt;</description>
    <description descriptionType="Other">To re-create the model, train https://github.com/mlperf/training/tree/master/image_classification or https://github.com/tensorflow/models/tree/master/official/resnet.
Make sure the data format is NHWC.
That re-export the model with batch_size=-1 (there is a script in https://github.com/mlperf/inference/cloud/image_classification/tools).
Create a frozen model tensorflow model from the exported saved_model.</description>
  </descriptions>
</resource>
2,518
25,909
views
downloads
All versions This version
Views 2,5182,522
Downloads 25,90925,909
Data volume 2.7 TB2.7 TB
Unique views 2,3152,319
Unique downloads 19,40719,407

Share

Cite as