<p>Here are a couple of Kaggle Kernels, Notebooks and Tutorials for Image Captioning.</p>
<ul>
<li><p><a href="https://www.kaggle.com/sauravmaheshkar/neural-image-captioning" rel="nofollow noreferrer">Kaggle Kernel | Neural Image Captioning:  -&gt; </a></p>
</li>
<li><p><a href="https://www.kaggle.com/aritrag/show-attend-and-tell" rel="nofollow noreferrer">Kaggle Kernel | Show Attend and Tell</a></p>
</li>
<li><p><a href="https://www.kaggle.com/ratthachat/flickr-image-captioning-tpu-tf2-glove" rel="nofollow noreferrer">Kaggle Kernel | Flickr Image Captioning : TPU, TF2 &amp; Glove</a></p>
</li>
<li><p><a href="https://www.tensorflow.org/tutorials/text/image_captioning" rel="nofollow noreferrer">Tensorflow Tutorial | Image captioning with visual attention</a></p>
</li>
<li><p><a href="https://arxiv.org/pdf/1411.4555v2.pdf" rel="nofollow noreferrer">Show and Tell: A Neural Image Caption Generator by Vinyals et al.</a></p>
</li>
</ul>

CC BY-SA 4.0
2021-04-09T04:13:25.520Z
2021-04-09T04:13:25.520Z
Saurav Maheshkar
<p>I saw a couple of architectures, like CNN-LSTM, with and without attention model, use of Glove vector, self-critical models, etc. I am overwhelmed looking at different notebooks and architectures, came here for a guidance.  I am looking to build a personal project on image annotations. Also, if I wanted to use this deep learning model together with TFX pipeline, what would be the best type of architecture I can go with?</p>

<deep-learning><convolutional-neural-networks><state-of-the-art><text-generation><model-request>
What would be the state of the art image captioning deep learning model?
Joe
# What would be the state of the art image captioning deep learning model?

(Asked by: username_0 on 2021-04-08)

I saw a couple of architectures, like CNN-LSTM, with and without attention model, use of Glove vector, self-critical models, etc. I am overwhelmed looking at different notebooks and architectures, came here for a guidance. I am looking to build a personal project on image annotations. Also, if I wanted to use this deep learning model together with TFX pipeline, what would be the best type of architecture I can go with?

**Tags:** deep-learning, convolutional-neural-networks, state-of-the-art, text-generation, model-request


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## 1 answers

### Answer by username_1 on 2021-04-09. Score: 0 | Accepted answer

Here are a couple of Kaggle Kernels, Notebooks and Tutorials for Image Captioning.

* [Kaggle Kernel | Neural Image Captioning: ->](https://www.kaggle.com/sauravmaheshkar/neural-image-captioning)
* [Kaggle Kernel | Show Attend and Tell](https://www.kaggle.com/aritrag/show-attend-and-tell)
* [Kaggle Kernel | Flickr Image Captioning : TPU, TF2 & Glove](https://www.kaggle.com/ratthachat/flickr-image-captioning-tpu-tf2-glove)
* [Tensorflow Tutorial | Image captioning with visual attention](https://www.tensorflow.org/tutorials/text/image_captioning)
* [Show and Tell: A Neural Image Caption Generator by Vinyals et al.](https://arxiv.org/pdf/1411.4555v2.pdf)


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