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https://issues.apache.org/jira/browse/TIKA-2306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15975243#comment-15975243
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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-295379227
I looks like you have to turn the ObjectRecognitionParser on via config,
etc? So, the default behavior is that the JPEGParser is called and the
ObjectRecognitionParser is not called, right?
To merge metadata, see: _TMP_IMAGE_METADATA_PARSER in TesseractOCRParser
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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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