Datasets:
Tasks:
Object Detection
Formats:
text
Languages:
English
Size:
1K - 10K
Tags:
neu-det
steel-surface-defect
hot-rolled-steel
industrial-inspection
object-detection
pascal-voc
DOI:
License:
File size: 3,106 Bytes
dcb9183 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | NEU-DET-corrected — LICENSE
===========================
This file covers TWO different things. Please read both parts.
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PART 1 — The modifications made in this release
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The changes made to produce "NEU-DET-corrected" are released under the
Creative Commons Attribution 4.0 International License (CC BY 4.0)
Full legal text: https://creativecommons.org/licenses/by/4.0/legalcode
These modifications are:
* removal of 1 duplicate image (patches_105.jpg, pixel-identical to
patches_101.jpg),
* removal of 3 duplicated bounding boxes (one box listed twice verbatim in
each of crazing_120, inclusion_62, patches_198),
* addition of a seeded, class-stratified train/val/test split,
* conversion of the annotations to YOLO format alongside the original
Pascal VOC format,
* regeneration of classes.txt, data.yaml, ImageSets/ and this documentation.
You are free to share and adapt these modifications for any purpose, including
commercially, provided you give appropriate credit.
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PART 2 — The underlying NEU-DET data (IMPORTANT)
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The underlying images and annotations originate from the NEU Surface Defect
Database (NEU-DET):
Song, Kechen; Yan, Yunhui.
"A noise robust method based on completed local binary patterns for
hot-rolled steel strip surface defects."
Applied Surface Science 285:858-864, 2013.
DOI: 10.1016/j.apsusc.2013.08.123
He, Yu; Song, Kechen; Meng, Qinggang; Yan, Yunhui.
"An End-to-end Steel Surface Defect Detection Approach via Fusing
Multiple Hierarchical Features."
IEEE Transactions on Instrumentation and Measurement 69(4):1493-1504, 2020.
DOI: 10.1109/TIM.2019.2915404
Official page: https://faculty.neu.edu.cn/songkc/en/zdylm/263265/
THE ORIGINAL AUTHORS HAVE NOT STATED A LICENSE FOR THE DATASET.
* The dataset is distributed by the authors (Google Drive / Baidu Netdisk)
for research use, with a request to cite the papers above.
* No LICENSE file, no licence statement, and no terms of use are provided
with the download.
* The associated papers are published by Elsevier / IEEE; those licences
cover the ARTICLES, and do not by themselves license the dataset.
Consequently, the copyright status of the underlying NEU-DET images and
annotations is UNDETERMINED. No licence is granted for them by this file.
>>> Before any commercial use or redistribution of the image data, you must
>>> determine the applicable terms from the original authors.
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If you are the rights holder of NEU-DET and would like this release changed or
removed, please open an issue and it will be actioned promptly.
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