Published October 17, 2018
| Version
2.0
Dataset
Open
NFFA-EUROPE - Majority SEM Dataset
Contributors
Related person:
Description
Dataset of 21,272 SEM images produced at CNR-IOM (Trieste, Italy). Images are classified into 10 categories in a folder structure. Classification labels have been checked by a group of nanoscientists on the web site http://sem-classifier.nffa.eu and only those images which have been validated by the absolute majority of the group have been included in the dataset.
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
(13.6 GB)
| Name | Size | Download all |
|---|---|---|
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Checksum: md5:f15fc8022c865cbcca486e8a30679f6f
PID: http://hdl.handle.net/11304/efa067dd-9a08-402f-9a0f-2f5831c6c4e3 |
709.3 MB | Download |
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Checksum: md5:390112d67c29d729cd59fa16e5dd5f74
PID: http://hdl.handle.net/11304/e9c54dfc-9db9-45b2-9d66-d2854d44e447 |
86.4 MB | Download |
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Checksum: md5:871be8f24848b8fbfe1ae8fd3d63f9c3
PID: http://hdl.handle.net/11304/a2d9734b-2efb-4874-92e3-618aa98c17c0 |
206.4 MB | Download |
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Checksum: md5:0ef04b00c4834b808aa655bb6feca3a1
PID: http://hdl.handle.net/11304/7b330bf0-50e5-400a-8bc1-3f6a072f5ffa |
3.3 GB | Download |
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Checksum: md5:549d1608e705cf5b25abf31f13bd7ee5
PID: http://hdl.handle.net/11304/65da4b6a-6f7a-4bcc-b652-1e820c1eb069 |
2.2 GB | Download |
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Checksum: md5:8ad78dcda458c5b792d9bc133c297afa
PID: http://hdl.handle.net/11304/18e716cc-1ba6-4b0d-946a-892508b468e6 |
2.5 GB | Download |
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Checksum: md5:943d9419780f3c6b43b616e7208d9888
PID: http://hdl.handle.net/11304/6cef17b2-8e31-4ba7-94b5-d96136799acb |
2.9 GB | Download |
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Checksum: md5:1a2c2bb9ba0a87f7797097874fad106f
PID: http://hdl.handle.net/11304/b8e9b4c8-0890-4235-95ad-af010bb9786a |
123.3 MB | Download |
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Checksum: md5:9f2bb96ac6fc3e9e7013b3c842076135
PID: http://hdl.handle.net/11304/4a5ccf3a-9683-4854-abed-cd8792824c3a |
880.0 MB | Download |
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Checksum: md5:068fa0f6a98daa70c37b3ef1569a8f33
PID: http://hdl.handle.net/11304/e5859693-c9e1-4535-83db-19ff5183bda7 |
708.4 MB | Download |
Additional details
Identifiers
- b2rec
- 72758204db9044ab8b3e6b6c4d2eb576