img2vec

Extract a feature vector for any image and find the cosine similarity for comparison using Pytorch. I have used ResNet-18 to extract the feature vector of images. Finally a Django app is developed to input two images and to find the cosine similarity.

This repository provides all necessary configurations and scripts to deploy the Weaviate vector database locally or on AWS EKS. The deployment includes support for the img2vec-neural and text2vec-openai models for efficient image and text vectorization.

This Jupyter notebook implements a machine learning-based image classification model to classify images of skies. It demonstrates the process of loading image data, extracting features using the img2vec library, training a Random Forest model for classification, and making predictions. The model achieves an accuracy of 96%.

類似画像検出器

EDA, pre-processing the data, selecting and testing a range of classification models, from simple machine learning models to neural networks models, and achieving a classifier with up to 95% accuracy.

Weather image classification using Machine Learning, img2vec feature extraction, and Scikit-learn

simple python Image to Vector Api for Elastic ImageSearch