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Posted to dev@tika.apache.org by "Kranthi Kiran GV (JIRA)" <ji...@apache.org> on 2017/03/29 05:40:41 UTC
[jira] [Comment Edited] (TIKA-2306) Update Inception v3 to
Inception v4 in Object recognition parser
[ https://issues.apache.org/jira/browse/TIKA-2306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15946536#comment-15946536 ]
Kranthi Kiran GV edited comment on TIKA-2306 at 3/29/17 5:40 AM:
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[~chrismattmann] [~thammegowda] | ( [~tgowdan@gmail.com] [~chris.a.mattmann@jpl.nasa.gov] )
Please review PR at https://github.com/apache/tika/pull/163
was (Author: kranthigv):
[~chrismattmann][~thammegowda] | ( [~tgowdan@gmail.com] [~chris.a.mattmann@jpl.nasa.gov] )
Please review PR at https://github.com/apache/tika/pull/163
> Update Inception v3 to Inception v4 in Object recognition parser
> -----------------------------------------------------------------
>
> Key: TIKA-2306
> URL: https://issues.apache.org/jira/browse/TIKA-2306
> Project: Tika
> Issue Type: Improvement
> Components: parser
> Affects Versions: 1.14
> Reporter: Kranthi Kiran GV
> Priority: Minor
> Labels: inception, object_recognition
> Original Estimate: 72h
> Remaining Estimate: 72h
>
> Object Recognition Parser currently uses Inception V3 model for the object classification task. Google released a newer Inception V4 model [1][2].
> It has an improved Top -1 accuracy of 80.2 and Top-5 accuracy of 95.2 [3].
> I believe that Tika community would benefit from it. I would be working on this issue in the next few days.
> [1] https://research.googleblog.com/2016/08/improving-inception-and-image.html
> [2] https://arxiv.org/abs/1602.07261
> [3] https://github.com/tensorflow/models/tree/master/slim
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