wire rope dataset

We use industrial cameras to take images of steel wire ropes under different conditions. We put the images of steel wire ropes in five folders, named as：Camera position step up_1; Camera position step up_2; From dark to light; Rotate(360 degrees); Rotate(360 degrees). Images in different folders come from different sources, explained below: Camera position step up_1：Move the camera from bottom to top to obtain images of different positions of the wire rope. Camera position step up_2: The camera rotates at a certain angle with the wire rope as the axis and then moves the camera from bottom to top to obtain images of different positions of the wire rope. From dark to light:Adjust the brightness of the light source to obtain the images of the wire rope under different brightness. Rotate(360 degrees)： Rotate the wire rope 360 degrees and randomly take images of the wire rope at different angles. Rotation(free)：Apply a certain torque to both ends of the wire rope and then suddenly remove the torque applied to both ends of the wire rope, and randomly take images during the rotation of the wire rope.In addition, the dataset also provides the json file generated manually using labelme. Note: If the network model fails to be trained using the json file, you can consider converting the Chinese in the json file to English. Finally, we also provide dataset usage instructions in the wire rope dataset folder.

本数据集采用工业相机采集不同工况下的钢丝绳图像。随后将全部钢丝绳图像归类至五个文件夹中，分别命名为：Camera position step up_1、Camera position step up_2、From dark to light、Rotate(360 degrees)、Rotation(free)。不同文件夹下的图像来源各异，具体说明如下：
1. Camera position step up_1：将相机从底部向上移动，以采集钢丝绳不同位置的图像；
2. Camera position step up_2：以钢丝绳为旋转轴调整相机角度后，再将相机从底部向上移动，采集钢丝绳不同位置的图像；
3. From dark to light：调整光源亮度，以获取不同光照条件下的钢丝绳图像；
4. Rotate(360 degrees)：将钢丝绳旋转360度，并随机拍摄不同角度下的钢丝绳图像；
5. Rotation(free)：对钢丝绳两端施加一定扭矩，随后突然移除施加于两端的扭矩，并在钢丝绳旋转过程中随机采集图像。
此外，本数据集还提供了手动通过LabelMe标注工具（LabelMe）生成的JSON标注文件。注意：若使用该JSON文件无法完成网络模型训练，可考虑将JSON文件内的中文内容转换为英文。最后，本数据集的钢丝绳图像文件夹中还提供了数据集使用说明文档。

搜集汇总

背景与挑战

背景概述

该数据集包含钢丝绳在不同拍摄条件和角度下的图像数据，以及手动标注的json文件，适用于研究钢丝绳在不同环境下的表现和特性。数据集分为五个文件夹，分别对应不同的拍摄条件和角度，为相关研究提供了丰富的数据资源。