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https://issues.apache.org/jira/browse/TIKA-2306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15975255#comment-15975255
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ASF GitHub Bot commented on TIKA-2306:
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tballison 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-295382171
> That's right.
Ok, I'm ok with this behavior. Users who want inception lose JPEG metadata
(for now). What I don't want to repeat is users who aren't using the
ObjectRecognizer losing JPEG metadata.
Bonus points for copy/paste of TesseractOCRParser's metadata insertion, but
not required, IMHO.
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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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