Birds 400-Species Image Classification using Pytorch Metric Learning (Triplet Margin Loss)
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Updated
Nov 1, 2022 - Jupyter Notebook
Birds 400-Species Image Classification using Pytorch Metric Learning (Triplet Margin Loss)
This project explores various similarity-learning loss formulations for solving tasks like fine-grained video/image retrieval or ranking, fine-grained video recognition.
Product Similarity Model using Convolutional Autoencoders and KNN.
This is Image searching Functionality based on AI(Deep learning) with FastAPI backend and React Frontend
An ML model that can identify images that are similiar to the input image.
A collection of diverse recommendation system projects, spanning collaborative filtering, content-based methods, and hybrid approaches.
Add a description, image, and links to the image-similarity-learning topic page so that developers can more easily learn about it.
To associate your repository with the image-similarity-learning topic, visit your repo's landing page and select "manage topics."