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.
No commits in the last 6 months.
Stars
10
Forks
7
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 09, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/IEEE-NITK/Image_Captioning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
bobbens/sketch_simplification
Models and code related to sketch simplification of rough sketches.
tonybeltramelli/pix2code
pix2code: Generating Code from a Graphical User Interface Screenshot
emilwallner/Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
MiteshPuthran/Image-Caption-Generator
The LSTM model generates captions for the input images after extracting features from...
jchenghu/ExpansionNet_v2
Implementation code of the work "Exploiting Multiple Sequence Lengths in Fast End to End...