Hand Recognition Dataset for Machine Vision Researchers (YOLOv8 Format)

This hand recognition dataset comprises a comprehensive collection of hand images from 65 individuals, including both left and right hands, annotated with YOLOv8 formatting.The dataset encompasses 17 distinct classes, denoted as L-L1 to L-L9 for the left hand and R-R1 to R-R8 for the right hand. These classes capture various hand gestures and poses.These images were captured using a standard mobile phone camera, offering a diverse set of images with varying angles and backgrounds. In total, the dataset comprises 405 high-quality images, with 222 representing left hands and 183 representing right hands. The left hand classes are distributed as follows: L-L1 (62 images), L-L2 (56 images), L-L3 (44 images), L-L4 (29 images), L-L5 (14 images), L-L6 (8 images), L-L7 (4 images), L-L8 (2 images), and L-L9 (3 images). Similarly, the right hand classes are distributed as R-R1 (53 images), R-R2 (48 images), R-R3 (38 images), R-R4 (24 images), R-R5 (14 images), R-R6 (4 images), R-R7 (1 image), and R-R8 (1 image).We welcome the machine vision research community to utilise and build upon this dataset to advance the field of hand recognition and its applications.

本手部识别数据集收录了来自65名个体的全面手部图像集合，涵盖左手与右手图像，且均采用YOLOv8格式进行标注。该数据集共包含17个独立类别，其中左手类别标记为L-L1至L-L9，右手类别标记为R-R1至R-R8，涵盖各类手部手势与姿态。
所有图像均通过标准智能手机摄像头采集，涵盖不同拍摄角度与背景，具备丰富的多样性。数据集整体包含405张高质量图像，其中左手图像222张，右手图像183张。
左手各类别样本分布如下：L-L1（62张）、L-L2（56张）、L-L3（44张）、L-L4（29张）、L-L5（14张）、L-L6（8张）、L-L7（4张）、L-L8（2张）以及L-L9（3张）。同理，右手各类别样本分布为：R-R1（53张）、R-R2（48张）、R-R3（38张）、R-R4（24张）、R-R5（14张）、R-R6（4张）、R-R7（1张）以及R-R8（1张）。
我们诚挚欢迎机器视觉研究领域的学者使用本数据集并开展后续研究，以推动手部识别技术及其应用的发展。