Image Caption Generator using Flickr Dataset | Deep Learning | Python

⭐️ Content Description ⭐️
In this video, I have explained on how to develop a image caption generator using flickr dataset in python. The project uses keras & tensorflow framework for the implementation. It uses both image features and text features in the project for building the model. This will give a better understanding of how we can leverage the model architecture of different domains for a specific application.
Text-based Tutorial: https://www.hackersrealm.net/post/ima...
Dataset link for 8K: https://www.kaggle.com/adityajn105/fl...
Dataset link for 32K: https://www.kaggle.com/datasets/hsank...
Code Files:https://tinyurl.com/imagecaption8k32k (Flick8k & 32k Notebooks with web url image testing)

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🕒 Timeline
00:00 Introduction to Image Caption Generator
01:00 Import Modules
07:26 Extract Image Features using VGG16
18:38 Load Captions Data
26:43 Preprocess the Caption Data
38:15 Train Test Split
40:28 Create Data Generator Function
53:34 Model Creation - CNN LSTM
01:06:10 Generate Captions for Images
01:19:46 Visualize the Results of Image Caption
01:27:36 Improving the Results

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