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Posted to dev@tika.apache.org by "Raunaq Abhyankar (JIRA)" <ji...@apache.org> on 2017/03/27 17:44:41 UTC
[jira] [Commented] (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=15943705#comment-15943705 ]
Raunaq Abhyankar commented on TIKA-2306:
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Hi!
I was able to successfully classify image using Inception v4 and the results are better than Inception v3! However, I'm finding it difficult to merge the independent classification script with the existing Tika codebase.
Any tips on the flow of code in Tika? How exactly is "classify_image.py" run?
> 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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