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 1 | # MetalDAM
 2 | 
 3 | MetalDAM is a metallography dataset from additive manufacturing of steels. All images were kindly provided by ArcelorMittal engineers. 
 4 | 
 5 | |Dataset|Images|Download|Cite|
 6 | |:-|:-|:-|:-|
 7 | |[Labeled](#labeled-dataset)|42|[↓ Download](https://github.com/ari-dasci/OD-MetalDAM/releases)|[Citation](#associated-publication)|
 8 | |[Unlabeled](#unlabeled-dataset)|164|[↓ Download](https://github.com/ari-dasci/OD-MetalDAM/releases)|[Citation](#associated-publication)|
 9 | 
10 | ## Labeled dataset
11 | 
12 | The labeled set contains 42 grayscale images taken with a scanning electron microscope, with resolutions 1280x895 and 1024x703 (after cropping the information band at the bottom).
13 | 
14 | | Label | Frequency |
15 | |:-|-:|
16 | |0. Matrix|31.86%|
17 | |1. Austenite|58.26%|
18 | |2. Martensite/Austenite|8.96%|
19 | |3. Precipitate*|0.24%|
20 | |4. Defect|0.68%|
21 | 
22 | (*) The  reduced  size of  the  precipitates  increased  notably  the  effort  of  annotating  these  micro-constituents, so most of them were ignored during the annotation process.
23 | 
24 | ## Unlabeled dataset
25 | 
26 | An additional set of 164 images obtained from the same materials is available as well.
27 | 
28 | ## Acknowledgments
29 | 
30 | This dataset has been generated and provided by ArcelorMittal Global R&D. Special thanks to the researchers Margarita Guerrero Gesto, Rosalía Rementeria Fernández and Laura del Río Fernandez.
31 | 
32 | ## Publications and citations
33 | 
34 | If you want to cite MetalDAM, please use the following citation:
35 | 
36 | ~~~latex
37 | @misc{metaldam,
38 |   title={MetalDAM: Metallography dataset from additive manufacturing},
39 |   author={{ArcelorMittal} and {DaSCI Andalusian Research Institute}},
40 |   url={https://github.com/ari-dasci/OD-MetalDAM}
41 | }
42 | ~~~
43 | 
44 | A publication presenting the dataset will be added here soon.
45 | 


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