CLIPxGPT Captioner is Image Captioning Model based on OpenAI's CLIP and GPT-2.

📷 Deployed image captioning ML model using Flask and access via Flutter app

pre-trained model and source code for generate description of images.

Image captioning project.

Image captioning model with Resnet50 encoder and LSTM decoder

This Streamlit app is designed for image captioning and tagging using the Google Gemini AI

Deployed image captioning ML model using Flask and access via Flutter app

The Bangla Image Caption Generation system generates descriptive captions for images in the Bangla language. The model is built by translating English captions from the Flickr8k dataset into Bangla and then training the model using these translated captions.

Streamline the creation of supervised datasets to facilitate data augmentation for deep learning architectures focused on image captioning. The core framework leverages MiniGPT-4, complemented by the pre-trained Vicuna model, which boasts 13 billion parameters.

Giving short discription of Image using AI

Image caption generator using CNN as an encoder and RNN as an decoder.

This project demonstrates an image captioning model using a Transformer architecture. The model takes an image as input and generates a descriptive caption. We use the COCO dataset for training and evaluation.

This project leverages advanced AI models to generate captions for images and translate them into regional languages (Kannada and Hindi). Additionally, it offers text-to-speech conversion, making it accessible to a wider audience, specially those with visual impairments.

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BLIP-ImageCaption

Immodal: Storytellor who never lies! Image caption generator + story generator powered by Cohere API

Image Captioning Using CLIP & GPT Models