Video database querying platform
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Updated
Aug 25, 2018 - JavaScript
Video database querying platform
Kernel Fisher Discriminant Analysis implementation following https://arxiv.org/abs/1906.09436
Hybrid recommendation engine using deep learning that incorporates user and item features, including images and text.
Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"
imgs.ai is a fast, dataset-agnostic, visual search engine for digital art history based on neural network embeddings.
Calculate image and document images on edge. Use these embeddings for on-edge use cases and flow them to our system for other uses.
project group 129
This notebook demonstates end-to-end process of generating image embeddings from Flickr8k dataset using InceptionV3 and generate captions using LSTM.
end-to-end image search app
This repository contains the implementation of a facings identifier using YOLOv8 and image embeddings. The goal of this project is to count the number of facings (product instances) of each product present on shelves in a retail store using computer vision techniques.
OpenL3: Open-source deep audio and image embeddings
Uncover visual connections in a flash with AI-powered reverse image search.
Text2ImageDescription retrieves relevant images from Pascal VOC 2012 dataset using OpenAI CLIP, based on text queries, and generates descriptions using quantized Mistral-7b model.
Content for workshops on image dataset curation @ HPI's AI Service Center
This app allows users to search for products by either entering text or uploading an image, and retrieves relevant products from a database
Mind-X is my intelligent alter ego that understands me the best. It assists with and resolves my bothersome tasks, growing in real-time as a next-generation PersonAI system.
Code implementation for our DAS, 2020 paper titled "Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval"
A Python toolkit for image clustering using deep learning, PCA, and K-means, with support for GPU and CPU processing. Simplify your image analysis projects with advanced embeddings, dimensionality reduction, and automated visual categorization.
computer vision and sports
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