File size: 1,886 Bytes
b74d6ae
 
195a645
 
 
 
 
 
b74d6ae
56f17ae
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
license: apache-2.0
task_categories:
- object-detection
language:
- en
paper: "AMFF-YOLOX: Towards an Attention Mechanism and Multiple Feature Fusion Based on YOLOX for Industrial Defect Detection"
paper doi: "https://doi.org/10.3390/electronics12071662"    
---
**Datasets URL**:[https://drive.google.com/drive/folders/13r-l_OEUt63A8K-ol6jQiaKNuGdseZ7j?usp=sharing](https://drive.google.com/drive/folders/13r-l_OEUt63A8K-ol6jQiaKNuGdseZ7j?usp=sharing)

**Datasets Paper**: Chen Y, Tang Y, Hao H, et al. AMFF-YOLOX: Towards an Attention Mechanism and Multiple Feature Fusion Based on YOLOX for Industrial Defect Detection[J]. *Electronics*, 2023, 12(7): 1662.

Dataset Original Repository: [MCnet](https://github.com/zdfcvsn/MCnet)

Dataset Original Paper: Zhang D, Song K, Xu J, et al. MCnet: Multiple context information segmentation network of no-service rail surface defects[J]. *IEEE Transactions on Instrumentation and Measurement*, 2020, 70: 1-9.

If you want to cite this.
```
@Article{electronics12071662,
author = {Chen, Yu and Tang, Yongwei and Hao, Huijuan and Zhou, Jun and Yuan, Huimiao and Zhang, Yu and Zhao, Yuanyuan},
title = {AMFF-YOLOX: Towards an Attention Mechanism and Multiple Feature Fusion Based on YOLOX for Industrial Defect Detection},
journal = {Electronics},
volumn = {12},
year = {2023},
number = {7},
article-number = {1662},
url = {https://www.mdpi.com/2079-9292/12/7/1662},
issn = {2079-9292},
doi = {10.3390/electronics12071662}
}
```

and

```
@Article{9285332,
  author = {Zhang, Defu and Song, Kechen and Xu, Jing and He, Yu and Niu, Menghui and Yan, Yunhui},
  journal = {IEEE Transactions on Instrumentation and Measurement}, 
  title = {MCnet: Multiple Context Information Segmentation Network of No-Service Rail Surface Defects}, 
  year = {2021},
  volume = {70},
  number = {},
  pages = {1-9},
  doi = {10.1109/TIM.2020.3040890}}

```