Data release for the ImageInWords (IIW) paper.

DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Content-Based Image Retrieval System

This repo represents our machine learning project Image Description which is used to generate a description of an image based on activities and objects detected in the image.

we generate captions to the images which are given by user(user input) using prompt engineering and Generative AI

Experimenting with mastodon.social client alt-text usage dataset.

Integrate AI capabilities into a DevExpress-powered Office File API Web API application.

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.

NL Generation from structured inputs. Focuses on generating natural language descriptions for images by exploring the relationship between textual descriptions and image attributes. Leveraging an encoder-decoder architecture with LSTM cells, the system transforms normalized vector representations of attributes into fixed-length vector.

This Python script processes images in a specified folder, sends them to the OpenAI API and saves the responses as text files.

Key Pointers/ Exhaustive Notes for various Machine Learning Research Papers

Smart Screen Reader- A Screen reader chrome extension for visually-impaired people. This is a Chrome extension that enhances web accessibility by: Generating image descriptions using AI, Summarizing entire pages, Allowing users to ask questions and automatically scroll to the relevant sections.

Testing the Moondream tiny vision model

Trabalho de Conclusão de Curso de Engenharia de Computação (UTFPR): Descritor de imagem baseado em curvas de Hilbert

Lucene Image Retrieval (LIRe) code to extract Open Access Series of Imaging Studies (OASIS) features.