Datasets
Standard Dataset
NEU-DET
- Citation Author(s):
- Submitted by:
- QIKE WU
- Last updated:
- Thu, 11/07/2024 - 01:09
- DOI:
- 10.21227/j84r-f770
- License:
149 Views- Categories:
- Keywords:
Abstract
The NEU-DET dataset is a collection of images featuring surface defects on hot-rolled steel strips. These defects are categorized into six classes: cracks (cr), inclusions (in), patches (pa), pitted surfaces (ps), rolled-in scale (rs), and scratches (sc). The dataset contains 300 grayscale images for each category, totaling 1800 images, with each image sized at 200×200 pixels.
The NEU-DET dataset is a collection of images featuring surface defects on hot-rolled steel strips. These defects are categorized into six classes: cracks (cr), inclusions (in), patches (pa), pitted surfaces (ps), rolled-in scale (rs), and scratches (sc). The dataset contains 300 grayscale images for each category, totaling 1800 images, with each image sized at 200×200 pixels.
Comments
I hope this message finds you well. I am writing to express my interest in your paper titled "An Adaptive Image Segmentation Network for Surface Defect Detection." I found your research to be highly insightful and relevant to my ongoing studies. As I aim to reproduce your findings and build upon your work in my future research, I would greatly appreciate it if you could share the dataset used in your study. Access to this dataset would significantly enhance my understanding and allow me to contribute to the field more effectively. Thank you very much for considering my request. I look forward to your positive response.