This dataset collects samples of different kinds of defective and normal chenille yarn images for the same batch of chenille yarn made of polyester material, aiming to facilitate the task of recognizing and classifying chenille yarn defects in computer vision and machine learning algorithms. This dataset consists of a total of 2500 images of 5 major chenille yarn defects and 2500 normal chenille yarn images, totaling 5000 images. It is captured by an industrial camera in the state of chenille yarn movement.

DOI Link: 
10.21227/4rxh-h071
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[1] Chenghan Yang, "Dataset of Chenille yarn", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/4rxh-h071. Accessed: Mar. 20, 2025.
@data{4rxh-h071-23,
doi = {10.21227/4rxh-h071},
url = {http://dx.doi.org/10.21227/4rxh-h071},
author = {Chenghan Yang },
publisher = {IEEE Dataport},
title = {Dataset of Chenille yarn},
year = {2023} }
TY - DATA
T1 - Dataset of Chenille yarn
AU - Chenghan Yang
PY - 2023
PB - IEEE Dataport
UR - 10.21227/4rxh-h071
ER -
Chenghan Yang. (2023). Dataset of Chenille yarn. IEEE Dataport. http://dx.doi.org/10.21227/4rxh-h071
Chenghan Yang, 2023. Dataset of Chenille yarn. Available at: http://dx.doi.org/10.21227/4rxh-h071.
Chenghan Yang. (2023). "Dataset of Chenille yarn." Web.
1. Chenghan Yang. Dataset of Chenille yarn [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/4rxh-h071
Chenghan Yang. "Dataset of Chenille yarn." doi: 10.21227/4rxh-h071