Published February 19, 2018
| Version
1.0
Dataset
Open
NFFA-EUROPE - Hierarchical SEM Dataset
Contributors
Related person:
Description
Dataset of 1,038 SEM images produced at CNR-IOM (Trieste, Italy). Images are classified into 10 categories and 27 subcategories (as sub-trees) in a folder-subfolder structure. Results obtained from this dataset have been published in Modarres et al., Scientific Reports volume 7, Article number: 13282 (2017), doi:10.1038/s41598-017-13565-z
The dataset is appropriate for the purposes of this study and in general for visual object recognition software research. Any scientific metadata associated to the measure is not present in the images. The dataset is therefore relevant as a whole, being the single images entirely detached from any specific information or scientific detail related to the displayed subject. This work has been done within the NFFA-EUROPE project (www.nffa.eu) and has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 654360 NFFA-Europe.
Files
Files
(625.3 MB)
| Name | Size | Download all |
|---|---|---|
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Checksum: md5:a8866b191ad36b05a69a37b60b557e50
PID: http://hdl.handle.net/11304/eabd30d6-2fbb-46b7-8252-1653cb3ece3d |
36.4 MB | Download |
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Checksum: md5:d46c922b179a36af9e3cee84c44e6669
PID: http://hdl.handle.net/11304/03885b8f-6b3c-411c-af1a-de6e8b128e5d |
21.2 MB | Download |
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Checksum: md5:ca5ee9cc03db9af7b2b682138fc759c6
PID: http://hdl.handle.net/11304/6d10fcae-0d29-4792-bc57-499e432df137 |
90.1 MB | Download |
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Checksum: md5:39ac2e7b9968db36ec2229e467b26147
PID: http://hdl.handle.net/11304/12d3c5a9-8163-4921-9bdd-8ddb8cb40cbb |
68.5 MB | Download |
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Checksum: md5:6b1f6c12861f5734ca9467ec900363ab
PID: http://hdl.handle.net/11304/7d9474e3-8133-4664-999f-7c93ef70079e |
85.7 MB | Download |
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Checksum: md5:ca3eb90db734ed3f8bcc2b53afb65167
PID: http://hdl.handle.net/11304/6ddafc65-033e-42f6-9c82-ab6f559f4c4c |
75.2 MB | Download |
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Checksum: md5:8d400716ffeec2af492c7036ca1196f2
PID: http://hdl.handle.net/11304/389d4b4e-5f24-4a6d-b655-ec3bc974f3a1 |
143.4 MB | Download |
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Checksum: md5:f08c0c004623cbf66b3297ee4729a087
PID: http://hdl.handle.net/11304/6e3fa8ef-06c1-4d4e-9abf-b36bc83c2dce |
6.7 MB | Download |
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Checksum: md5:4c63a787732c8111a90cedbad8d1af25
PID: http://hdl.handle.net/11304/a9e3aec1-bad8-4576-ae6f-c8ad88ac8bc2 |
45.2 MB | Download |
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Checksum: md5:a9db415480c351ee89728e87b9d2c0b0
PID: http://hdl.handle.net/11304/e5b6ecfd-69ce-4747-99fa-a438da246793 |
53.0 MB | Download |
Additional details
Identifiers
- b2rec
- 46e01f1ba52041be9b237d5b288f0620
- b2rec
- b9abc4a997f8452aa6de4f4b7335e582