Deep Learning based approach on image similarity search
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Updated
Mar 24, 2023 - Python
Deep Learning based approach on image similarity search
Calculation of image similarity using siamase neural networks
Kaggle - Hotel-ID to Combat Human Trafficking 2022 - (FGVC9) - image similarity
Neural matrix factorization movie recommender paired with image similarity in poster design
Find similar regions of Long Island by comparing satellite imagery.
Automatic Annotation of FTIR tissue images
Kaggle - Hotel-ID to Combat Human Trafficking 2021 (FGVC8) - image similarity
First assignment for the University Senior Project course
In this project we are going to utililse deep learning techniques to work on Dolphin Images , This project was used by SKLMP Lab, City University of Hong Kong for Dolphin Image Diagnostic purposes.
Optimized Image Similarity using Garbage Collector as it helps with slug size problem in heroku.
Attempt to train a convolutional neural network for image classification using transfer learning. The model constructed was then adapted to the purpose of developing an image search engine able to rank images with regard to their similarity.
Image similarity tasks involve determining how similar two or more images are to each other. In these tasks, it's crucial to learn feature representations that can capture relevant patterns and structures from the images.
Implementation of MPEG-7 "Edge Histogram Descriptor" texture descriptor, in addition to some improvements, like global and semi-local features.
it is the only eisiest image similarity checker in Python
Check and return similar images when array of URLs given
Deep Image Similarity with TensorFlow Keras.
The primary goal of this project is to develop an AI model that can determine the most similar images within a given dataset. This is achieved by first training a classification model on the dataset.
Given a image from Marvel MCU retrieve similar marvel images
Program to calculate an Image similarity index by using Structural Similarity and Hamming Distance
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