[
https://issues.apache.org/jira/browse/TIKA-2306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15977513#comment-15977513
]
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-295912340
Thanks for updating the URL in dockerfile.
I have made the minor changes on Wiki page now (V3 to V4, etc).
I will be updating the results of running the parser by today.
Thank you.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
> 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
> Assignee: Thamme Gowda
> 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
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
