Mechanical Parts Dataset 2022

Mechanical Parts Dataset The dataset consists of a total of 2250 images obtained by downloading from various internet platforms. Among the images in the dataset, there are 714 images with bearings, 632 images with bolts, 616 images with gears and 586 images with nuts. A total of 10597 manual labeling processes were carried out in the dataset, including 2099 labels belonging to the bearing class, 2734 labels belonging to the bolt class, 2662 labels belonging to the gear class and 3102 labels belonging to the nut class. Folder Content The created dataset is divided into 3 as 80% train, 10% validation and 10% test. In the "Mechanical Parts Dataset" folder, there are three separate folders as "train", "test" and "val". In each of these three folders there are folders named "images" and "labels". Images are kept in the "images" folder and tag information is kept in the "labels" folder. Finally, inside the folder there is a yaml file named "mech_parts_data" for the Yolo algorithm. This file contains the number of classes and class names. Images and Labels The dataset was prepared in accordance with the Yolov5 algorithm. For example, the tag information of the image named "2a0xhkr_jpg.rf.45a11bf63c40ad6e47da384fdf6bb7a1.jpg" is stored in the txt file with the same name. The tag information (coordinates) in the txt file are as follows: "class x_center y_center width height". Update 05.01.2023 ***Pascal voc and coco json formats have been added.*** Related paper: doi.org/10.5281/zenodo.7496767

机械零件数据集（Mechanical Parts Dataset）
本数据集总计包含2250张从各类互联网平台下载的图像。其中，含轴承（bearing）的图像714张、含螺栓（bolt）的632张、含齿轮（gear）的616张、含螺母（nut）的586张。本数据集共完成10597次人工标注流程，其中轴承类标注2099个、螺栓类标注2734个、齿轮类标注2662个、螺母类标注3102个。

文件夹结构
本数据集按80%训练集、10%验证集、10%测试集的比例划分为三部分。在"机械零件数据集"根文件夹下，设有"train"、"test"与"val"三个独立子文件夹。上述三个子文件夹中均包含"images"与"labels"两个子目录：原始图像存储于"images"文件夹，标注信息则保存于"labels"文件夹。此外，根文件夹内还包含一个供YOLO（You Only Look Once）算法使用的名为"mech_parts_data"的YAML（YAML Ain't Markup Language）配置文件，该文件定义了数据集的类别数量与类别名称。

图像与标注格式
本数据集适配Yolov5算法格式。以图像文件"2a0xhkr_jpg.rf.45a11bf63c40ad6e47da384fdf6bb7a1.jpg"为例，其对应的标注信息存储于同名txt文本文件中。txt文件内的标注信息格式为："class x_center y_center width height"，即"类别编号 中心点x坐标 中心点y坐标 标注框宽度 标注框高度"。

更新记录
2023年5月1日更新：新增PASCAL VOC（Pattern Analysis, Statistical Modelling and Computational Learning Visual Object Classes）与COCO（Common Objects in Context）JSON格式支持。

相关论文
相关论文链接：doi.org/10.5281/zenodo.7496767

搜集汇总

背景与挑战

背景概述

该数据集包含2250张机械零件图像，涵盖轴承、螺栓、齿轮和螺母四类，适用于目标检测任务，已按标准比例划分训练集、验证集和测试集，并提供多种格式的标签文件。