Confusezius/Deep-Metric-Learning-Baselines
PyTorch Implementation for Deep Metric Learning Pipelines
This project provides a complete, adaptable framework for individuals working with image recognition and retrieval tasks. It takes in structured image datasets, such as those for birds, cars, or clothing, and outputs optimized models for identifying similar items. This is ideal for researchers and machine learning engineers who need to test and implement new deep metric learning methods to improve their image search or classification systems.
576 stars. No commits in the last 6 months.
Use this if you need a flexible pipeline to experiment with different deep metric learning techniques for image similarity and retrieval.
Not ideal if you are a business user looking for a ready-to-deploy solution without any coding or machine learning expertise.
Stars
576
Forks
91
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 17, 2020
Commits (30d)
0
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