Data release for the ImageInWords (IIW) paper.

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.

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.

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

Key Pointers/ Exhaustive Notes for various Machine Learning Research Papers

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.