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:
Download LICENSE from KeenForgeAI/NEU-DET-corrected: direct link, hf CLI and curl.
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- Download file 3.11 kB
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https://huggingface.co/datasets/KeenForgeAI/NEU-DET-corrected/resolve/main/LICENSE
- Command line
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hf download hf://datasets/KeenForgeAI/NEU-DET-corrected/LICENSE
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curl -L -o LICENSE https://huggingface.co/datasets/KeenForgeAI/NEU-DET-corrected/resolve/main/LICENSE
3.11 kB
| NEU-DET-corrected — LICENSE | |
| =========================== | |
| This file covers TWO different things. Please read both parts. | |
| -------------------------------------------------------------------------------- | |
| PART 1 — The modifications made in this release | |
| -------------------------------------------------------------------------------- | |
| 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. | |
| -------------------------------------------------------------------------------- | |
| PART 2 — The underlying NEU-DET data (IMPORTANT) | |
| -------------------------------------------------------------------------------- | |
| 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. | |
| -------------------------------------------------------------------------------- | |
| 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. | |
| -------------------------------------------------------------------------------- | |