Skip to main content

Using Tensorflow Imagenet model to classify images and search similar images

Image search using Tensorflow and Imagenet


In this post, I would like to share my experience in using Tensorflow, Imagenet. Using Inception model, we can classify images and use these tags to search similar images. 

I would share my code and implementation and results. To be continued..

Comments

  1. qbcustomerhelp26 June 2019 at 14:53

    This comment has been removed by a blog administrator.

    ReplyDelete
  2. qbcustomerhelp26 June 2019 at 14:53

    This comment has been removed by a blog administrator.

    ReplyDelete
  3. qbcustomerhelp26 June 2019 at 14:53

    This comment has been removed by a blog administrator.

    ReplyDelete
  4. kirankumar12 July 2019 at 21:45

    This comment has been removed by a blog administrator.

    ReplyDelete
  5. kirankumar2 August 2019 at 22:22

    This comment has been removed by a blog administrator.

    ReplyDelete
  6. Thanu Sree22 November 2021 at 05:18

    Excellent blog since I have visited is really awesome. The important thing is that in this blog content written clearly and understandable. The content of information is very informative. We are also providing the best services click on below links to visit our website.
    Oracle Fusion HCM Training
    Workday Training
    Okta Training
    Palo Alto Training
    Adobe Analytics Training

    ReplyDelete

Post a Comment

Popular posts from this blog

How to contribute to Openstack

How to contribute to Openstack My contribution : link First of all lets answer the question who can contribute to Openstack. Anyone . Yes, anyone can contribute to Openstack. Whether you are interested in developing new feature in Openstack  or in Documentation or in fixing Bugs , you are welcome. That's how Open source projects work. Lets answer another question . Why should anyone contribute to Openstack. The answer would be :  To learn more about the project. By contributing you learn a lot of things. You are making the system better and helping others all over the world who use Openstack. Let's begin This   is where you should start. The link has all the information on How to contribute. All the commands used here are from that link. In case if you want more info please use the link provided in the beginning. My mentor suggested me to fix a Bug in Openstack. Bug can be a very small one like fixing a typo in the code message or it can be a critical ...
113 comments
Read more

Deploying Devstack with Ironic

Devstack with Ironic Openstack  Openstack is a cloud operating system which manages pools of resources like storage, newtorking, computing and provisions cloud solutions which is massively scalable. Openstack is an free and open source project. Openstack's mission is to provide ubiquitous cloud computing platform which serves as Infrastructure As A Service (IAAS) to meet the needs of public, private cloud and hybrid cloud. Devstack Devstack is an all in one installer for Openstack. Openstack is getting bigger and bigger day by day. Many new projects have been added to it and it is getting more complicated. To make things easy, Devstack offers a way to install all components of Openstack with out much fuss. These are the key components of Openstack : Compute ( Code name 'Nova') : Nova is responsible for creation and management of virtual machines. It has support for different types of Hypervisor s like KVM , Xen , QEMU , Vmware-vsphere , Hyper-V , Baremetal ...
27 comments
Read more

Text classification using CNN written in tensorflow.

Problem statement : You are supposed to build a model which automatically classifies an article under Finance, Law, Fashion and Lifestyle. Use the data from leading magazines for training the model. Solution :   Github Repo :  link In past, I had used NLTK and python to solve the above problem, but neural networks have proven to be more accurate when it comes to NLP. I had researched on text classification libraries and different approaches to solve this problem and decided to use CNN. I have used Denny Britz code for implementing the CNN( convolutional neural network ). Here is the  link for his blog post. I would describe the files and the procedure I followed to get the data, train the model, test the model and the results. First, I went to the leading newspaper TheGuardian and looked for the labels i.e Finance, Law, Fashion, Lifestyle. Scraping the data from the same source would be help in keeping the homogeneity in the articles. I have used ...
28 comments
Read more