flickr8k-dataset 开源项目推荐（56 个）

Div-Infinity /Image-Captioning

Image Captioning with Keras

sankalp1999 /Image_Captioning_With_Attention

CaptionBot : Sequence to Sequence Modelling where Encoder is CNN(Resnet-50) and Decoder is LSTMCell with soft attention mechanism

bhushan2311 /image_caption_generator

An Image captioning web application combines the power of React.js for front-end, Flask and Node.js for back-end, utilizing the MERN stack. Users can upload images and instantly receive automatic captions. Authenticated users have access to extra features like translating captions and text-to-speech functionality.

UCSB-AI /ComCLIP

NAACL 2024 论文《ComCLIP：无训练合成图像与文本匹配》的官方实现和数据集

adityajn105 /image-caption-bot

Implementation of 'merge' architecture for generating image captions from paper "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?" using Keras. Dataset used is Flickr8k available on Kaggle.

Delphboy /karpathy-splits

Karpathy Splits json files for image captioning

Subangkar /Image-Captioning-Attention-PyTorch

An attention based sequential deep learning model implemented in pytorch to generate single line caption given an input image

Aryavir07 /Image-Captioning-Using-CNN-and-LSTM

Generating Captions for images using CNN & LSTM on Flickr8K dataset.The generation of captions from images has various practical benefits, ranging from aiding the visually impaired.

satojkovic /DeepCaptioning

Yet another im2txt (show and tell: A Neural Image Caption Generator)

reshalfahsi /image-captioning-mobilenet-llama3

Image Captioning With MobileNet-LLaMA 3

yash-sarwaswa /Image-Caption-Generator

Fabricating a Python application that generates a caption for a selected image. Involves the use of Deep Learning and NLP Frameworks in Tensorflow, Keras and NLTK modules for data processing and creation of deep learning models and their evaluation.

Avaneesh40585 /Flickr8k-Dataset

A repository hosting the complete Flickr8k dataset, prepared and ready for image captioning research.

Amir-Hofo /Image_Captioning

Image captioning project using the Flickr8k dataset. A custom encoder-decoder architecture was implemented based on ResNet-50 and LSTM, trained from scratch using PyTorch. The model takes an image as input and generates a descriptive caption. BLEU score was used for evaluation.

therrshan /image-captioning

Comparitive analysis of image captioning model using RNN, BiLSTM and Transformer model architectures on the Flickr8K dataset and InceptionV3 for image feature extraction.

pjain9696 /image_captions_generator

Generate captions from images

nouranHisham /image_captioning_flickr

Image Captioning is the task of describing the content of an image in words. This task lies at the intersection of computer vision and natural language processing.

aviralchharia /Neural-Image-Captioning

In this project, we use a Deep Recurrent Architecture, which uses CNN (VGG-16 Net) pretrained on ImageNet to extract 4096-Dimensional image feature Vector and an LSTM which generates a caption from these feature vectors.

AHMEDSANA /PaliGemma-flickr8k-finetuning

This repository contains code for fine-tuning Google's PaliGemma vision-language model on the Flickr8k dataset for image captioning tasks

Batserine /Image_Captioning

Image Captioning using Deep learning models in Keras.

billy-enrizky /Image-Caption-Generator

🚀 Image Caption Generator Project 🚀 🧠 Building Customized LSTM Neural Network Encoder model with Dropout, Dense, RepeatVector, and Bidirectional LSTM layers. Sequence feature layers with Embedding, Dropout, and Bidirectional LSTM layers. Attention mechanism using Dot product, Softmax attention scores,...