Most popular metrics used to evaluate object detection algorithms.
翻译 - 最流行的度量标准，用于评估对象检测算法。
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
#计算机科学#(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
翻译 - 提交中的“ 3D多对象跟踪基准”的官方Python实现
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
翻译 - 非度量空间库（NMSLIB）：高效的相似性搜索库和用于评估通用非度量空间的k-NN方法的工具包。
A library of metrics for evaluating recommender systems
An empirical study on evaluation metrics of generative adversarial networks.
A Julia package for evaluating distances (metrics) between vectors.
Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation
Evaluation Metrics for the Hewlett Foundation's Automated Essay Scoring competition
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)
ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP
📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
各种算法评价指标的实现（mAP/Flops/params/fps/error-rate/accuracy）
📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
翻译 - 📊一个图像生成器，它具有有关GitHub帐户的20多个指标，例如活动，社区，存储库，编码习惯，网站性能，播放的音乐，加注星标的主题等，您可以将其放在个人资料中或其他地方！
📈 Capturing JVM- and application-level metrics. So you know what's going on.
翻译 - ：chart_with_upwards_trend：捕获JVM和应用程序级别的指标。所以你知道发生了什么事。
Exporter for machine metrics
翻译 - 机器指标导出器
An open source project to document AI progress through data.
A thin façade around Coda Hale's metrics library.
General purpose metrics adapter for Kubernetes HPA metrics