davidstutz/superpixel-benchmark
C++ benchmark comparing 28 superpixel algorithms across 5 datasets for image segmentation evaluation.
Not currently ranked — collecting fresh signals.
star history
This repository provides an extensive evaluation framework for comparing state-of-the-art superpixel algorithms. It includes implementations of 28 different superpixel methods and evaluation tools for metrics like boundary recall, undersegmentation error, and explained variation. Built with C++ and OpenCV, the benchmark supports standardized comparison on multiple datasets and is accompanied by peer-reviewed research published in Computer Vision and Image Understanding.
Frequently asked
- What is davidstutz/superpixel-benchmark?
- C++ benchmark comparing 28 superpixel algorithms across 5 datasets for image segmentation evaluation.
- Is superpixel-benchmark open source?
- Yes — davidstutz/superpixel-benchmark is an open-source project tracked on heatdrop.
- What language is superpixel-benchmark written in?
- davidstutz/superpixel-benchmark is primarily written in C++.
- How popular is superpixel-benchmark?
- davidstutz/superpixel-benchmark has 415 stars on GitHub.
- Where can I find superpixel-benchmark?
- davidstutz/superpixel-benchmark is on GitHub at https://github.com/davidstutz/superpixel-benchmark.