LSTM model generates captions for images after extracting features using a CNN model.
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Updated
Sep 8, 2019 - Jupyter Notebook
LSTM model generates captions for images after extracting features using a CNN model.
wd14 tagger app with UI
A CNN based model trained on fliker8k data to generate captions from images.
Simple Go API wrapper for https://www.captionbot.ai/
Our model generates descriptive captions for the given input image related to cricket domain.
This GitHub repository contains the implementation of a deep learning model capable of generating captions for images in the form of speech.
Medical image captioning and feature extraction. Deep learning pretreating task comparison.
Computation using data flow graphs for scalable machine learning
DL-CNN-ImageCaptionGenerator
Utility to downlaod the Pascal Sentence Dataset
Image Caption Generator using CNN and LSTM
Image Captioning is the process of generating a textual description for given images. Image captioning can be regarded as an end-to-end Sequence to Sequence problem, as it converts images, which is regarded as a sequence of pixels to a sequence of words. Image captioning has a huge amount of application.
Streamlit application for Geosciences Image Labeling (Category and caption)
image tagging and captioning through mmdetection and BLIP
This repo host all the source code and documentation regarding the Deep Learning Seminar (CS395T) final project.
Using AI to write caption for an image (with HuggingFace, Transformer.js or Azure Cognitive Vision API)
The code with an attempt on the disentanglement for the decoder part of a caption generator.
Extends the SiteOrigin Widgets Bundle by extending the Image widget to include a caption feature.
Add a description, image, and links to the captioning-images topic page so that developers can more easily learn about it.
To associate your repository with the captioning-images topic, visit your repo's landing page and select "manage topics."