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
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.
Neural matrix factorization movie recommender paired with image similarity in poster design
Kaggle - Hotel-ID to Combat Human Trafficking 2022 - (FGVC9) - image similarity
Automatic Annotation of FTIR tissue images
Kaggle - Hotel-ID to Combat Human Trafficking 2021 (FGVC8) - image similarity
Find similar regions of Long Island by comparing satellite imagery.
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.
Given a image from Marvel MCU retrieve similar marvel images
Program to calculate an Image similarity index by using Structural Similarity and Hamming Distance
PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020
Self learning of deep learning in several topics, also implementing them from scratch using Keras.
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
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