Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"

A deep learning model that generates descriptions of an image.

Image captioning model with Resnet50 encoder and LSTM decoder

Download flickr8k, flickr30k image caption datasets

Visual Elocution Synthesis

PyTorch implementation of 'CLIP' (Radford et al., 2021) from scratch and training it on Flickr8k + Flickr30k

Karpathy Splits json files for image captioning

Preprocess the Flickr30k dataset

ImgCap is an image captioning model designed to automatically generate descriptive captions for images. It has two versions CNN + LSTM model and CNN + LSTM + Attention mechanism model.

Processing data produced by flickr30k_entities to use as regional description for densecap model

Image captioning generation using Swin transformer and GRU attention mechanism

"Flickr30k_image_captioning" is a project or repository focused on image captioning using the Flickr30k dataset. The project aims to develop and showcase algorithms and models that generate descriptive captions for images.

Implementation of CLIP from OpenAI using pretrained Image and Text Encoders.