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https://issues.apache.org/jira/browse/TIKA-2306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15966453#comment-15966453
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ASF GitHub Bot commented on TIKA-2306:
--------------------------------------

KranthiGV commented on issue #163: TIKA-2306: Update Inception v3 to Inception 
v4 in Object recognition parser 
URL: https://github.com/apache/tika/pull/163#issuecomment-293681965
 
 
   @thammegowda 
   Can you please review this PR? 
   It would enable me to work on 
[TIKA-2308](https://issues.apache.org/jira/browse/TIKA-2308) and also adding 
support for other image MIME types.
   Since the current and this implementations are different, it would save us 
the trouble of re-doing a lot of work again when this PR gets merged.
 
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> 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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