Gesture v1.0 Dataset

The Gesture v1.0 dataset comprises 2,417 images, which collectively feature a diverse set of 4,159 labeled objects categorized into five distinct gesture classes: one, two, three, four, and five. To facilitate comprehensive model training and evaluation, the dataset has been thoughtfully divided into two subsets: a substantial train set containing 1,916 images and a val set with 501 images. With a strong focus on object detection and a commitment to open-source principles, the Gesture dataset serves as a robust asset for advancing research and applications in deep learning within this domain.

Gesture v1.0 数据集囊括了 2,417 张图像，这些图像共同展现了 4,159 个标注对象，这些对象被精心划分为五个独特的手势类别：一类、二类、三类、四类和五类。为了促进模型的全面训练与评估，该数据集被细致地划分为两个子集：一个包含 1,916 张图像的庞大训练集和一个包含 501 张图像的验证集。该数据集对物体检测给予高度重视，并致力于开源原则，因此成为推动深度学习领域研究与应用发展的坚实资源。

搜集汇总

背景与挑战

背景概述

Gesture v1.0 Dataset是一个用于目标检测任务的数据集，包含2,417张图像和4,159个标注对象，涵盖5种手势类别（one至five），适用于娱乐行业应用。数据集分为训练集和验证集，采用GNU GPL 3.0许可证，发布于2022年。