https://github.com/ieee-nitk/image_captioning

Image Captioning is the process of generating textual description of an image. It uses both Natural Language Processing and Computer Vision to generate the captions.
https://github.com/ieee-nitk/image_captioning

attention attention-mechanism bahdanau-attention cnn deep-learning gru image image-captioning imgae-captioning inceptionv3 lstm luong-attention ml nlp python3 recurrent-neural-networks resnet-50 rnn tensorflow vgg16

Last synced: 4 days ago
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Image Captioning is the process of generating textual description of an image. It uses both Natural Language Processing and Computer Vision to generate the captions.

• Host: GitHub
• URL: https://github.com/ieee-nitk/image_captioning
• Owner: IEEE-NITK
• Created: 2021-02-24T14:38:25.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-12-09T16:21:44.000Z (about 2 years ago)
• Last Synced: 2024-04-16T02:10:39.488Z (9 months ago)
• Topics: attention, attention-mechanism, bahdanau-attention, cnn, deep-learning, gru, image, image-captioning, imgae-captioning, inceptionv3, lstm, luong-attention, ml, nlp, python3, recurrent-neural-networks, resnet-50, rnn, tensorflow, vgg16
• Language: Jupyter Notebook
• Homepage:
• Size: 9.46 MB
• Stars: 2
• Watchers: 6
• Forks: 7
• Open Issues: 0

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