Pzhvk/Captioneer
An in-depth comparison of three image captioning models built with PyTorch. This repository contains the full pipeline for preprocessing the Flickr30k dataset, training three distinct architectures (LSTM, LSTM w/ Attention, Transformer w/ DistilBERT), and performing a comprehensive evaluation using BLEU, METEOR, CIDEr, and SPICE.
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Pzhvk/Captioneer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ntrang086/image_captioning
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common...
fregu856/CS224n_project
Neural Image Captioning in TensorFlow.
vacancy/SceneGraphParser
A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic...
ltguo19/VSUA-Captioning
Code for "Aligning Linguistic Words and Visual Semantic Units for Image Captioning", ACM MM 2019
Abdelrhman-Yasser/video-content-description
Video content description model for generating descriptions for unconstrained videos