jshwanth/image-captioning

Error-centric comparison of CNN-LSTM, attention-based, and transformer models for frame-level image captioning using Flickr8k and MSVD datasets.

/ 100

Experimental

No License No Package No Dependents

Maintenance 10 / 25

Adoption 1 / 25

Maturity 1 / 25

Community 0 / 25

Stars

Forks

—

Language

Jupyter Notebook

License

—

Category

Last pushed

Mar 06, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/jshwanth/image-captioning"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

zarzouram/image_captioning_with_transformers

Pytorch implementation of image captioning using transformer-based model.

rese1f/aurora

[ICLR 2025] AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

senadkurtisi/pytorch-image-captioning

Transformer & CNN Image Captioning model in PyTorch.

tanishqgautam/Image-Captioning

Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged...

ilya16/deephumor

DeepHumor: Image-based Meme Generation using Deep Learning