Neural-Image-Captioning and Neural_Image_Caption_Generator

Neural-Image-Captioning
31
Emerging
Neural_Image_Caption_Generator
31
Emerging
Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 12/25
Maintenance 0/25
Adoption 6/25
Maturity 8/25
Community 17/25
Stars: 3
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 15
Forks: 11
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Neural-Image-Captioning

aviralchharia/Neural-Image-Captioning

In this project, we use a Deep Recurrent Architecture, which uses CNN (VGG-16 Net) pretrained on ImageNet to extract 4096-Dimensional image feature Vector and an LSTM which generates a caption from these feature vectors.

About Neural_Image_Caption_Generator

matakshay/Neural_Image_Caption_Generator

Deep Learning model which uses Computer Vision and NLP to generate captions for images

This project helps generate descriptive text captions for images automatically. You provide an image, and it outputs a sentence describing the visual content, identifying objects and actions within the picture. This is useful for content creators, digital asset managers, or anyone needing to quickly describe visual content.

image-description content-creation digital-asset-management metadata-generation

Related comparisons

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