Yoga-16 人体瑜伽动作图像数据集

Yoga-16 数据集旨在提高瑜伽姿势识别模型的分类准确率。它分为三个主要目录：训练、测试和验证，每个目录包含 16 个子目录，对应 16 种不同的瑜伽姿势。这个结构化的数据集提供了全面的图像集合，以方便高级瑜伽姿势分类算法的训练、评估和验证。

The Yoga-16 dataset is designed to improve the classification accuracy of yoga pose recognition models. It is divided into three main directories: training, test, and validation, each containing 16 subdirectories corresponding to 16 distinct yoga poses. This structured dataset provides a comprehensive collection of images to facilitate the training, evaluation, and validation of advanced yoga pose classification algorithms.

搜集汇总

背景与挑战

背景概述

Yoga-16是一个包含16种瑜伽姿势的人体动作识别数据集，总大小132.54MB，具有训练/测试/验证的标准化目录结构。该数据集专门用于提升瑜伽姿势分类算法的准确率，发布于Kaggle平台。