gmberton/VPR-methods-evaluation
Wrapper for 10+ VPR models. Use any SOTA VPR model just by changing one parameter
This tool helps researchers and engineers quickly evaluate different Visual Place Recognition (VPR) models for tasks like robot localization or autonomous vehicle navigation. You provide collections of images from different locations, and it outputs visual predictions of where each query image is located within the database, along with performance metrics. It's designed for anyone working with robot navigation or visual localization who needs to compare how well various VPR techniques perform on their specific image datasets.
181 stars.
Use this if you need to compare the performance of multiple state-of-the-art Visual Place Recognition (VPR) models on your own image datasets to determine the best approach for a specific localization task.
Not ideal if you need to train new VPR models from scratch or perform fine-tuning, as this tool is focused on evaluating existing, pre-trained models.
Stars
181
Forks
25
Language
Python
License
—
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
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