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Sponsored by
ZenMux
keras-io / image-captioning
Model's Last Updated: January 13 2022
image-to-text
Introduction of image-captioning
Model Details of image-captioning
Tensorflow Keras Implementation of an Image Captioning Model with encoder-decoder network. 🌃🌅🎑
This repo contains the models and the notebook on Image captioning with visual attention .
Full credits to TensorFlow Team
Background Information
This notebook implements TensorFlow Keras implementation on Image captioning with visual attention.
Given an image like the example below, your goal is to generate a caption such as "a surfer riding on a wave".
To accomplish this, you'll use an attention-based model, which enables us to see what parts of the image the model focuses on as it generates a caption.
The model architecture is similar to
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
.
This notebook is an end-to-end example. When you run the notebook, it downloads the MS-COCO dataset, preprocesses and caches a subset of images using Inception V3, trains an encoder-decoder model, and generates captions on new images using the trained model.
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More Information About image-captioning huggingface.co Model
Url of image-captioning
image-captioning huggingface.co Url
Provider of image-captioning huggingface.co
Other API from keras-io
Updated:July 09 2024
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