Published October 17, 2018
| Version
2.0
Dataset
Open
NFFA-EUROPE - 100% SEM Dataset
Contributors
Related person:
Description
Dataset of 21,169 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 100% 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: md5:296cd6be5ac97b2203e807e9552d9aeb
PID: http://hdl.handle.net/11304/09f15f18-cab1-41c8-8e0b-a306b03e2d8d |
703.8 MB | Download |
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Checksum: md5:c942e19b8ab221d3c700f44a0c67b306
PID: http://hdl.handle.net/11304/605d3075-ad9a-41b1-84d1-4e4d65bcf030 |
81.0 MB | Download |
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Checksum: md5:3c2e6cb914e1864855d9c3805ef47913
PID: http://hdl.handle.net/11304/73c7da62-7d6e-48bb-bdef-0f2670de4437 |
197.6 MB | Download |
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Checksum: md5:98a988b167ff25528b80ab8bf7585c04
PID: http://hdl.handle.net/11304/27d0cfb1-c332-4f8a-a379-88f95c199dd3 |
3.3 GB | Download |
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Checksum: md5:bc51bd48acbb693e5f34e0c9f882cf3e
PID: http://hdl.handle.net/11304/1b5df9fc-c650-48e8-98ef-508538850838 |
2.2 GB | Download |
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Checksum: md5:61266e91981d0a0b4f7c6f15061cffc9
PID: http://hdl.handle.net/11304/f6416904-6320-4bc8-81ff-3f5a455c6c1b |
2.5 GB | Download |
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Checksum: md5:44d3964bef4ee7e84ba2f99c84036e9c
PID: http://hdl.handle.net/11304/575634b5-3fa8-4a1a-a833-9018d41ff945 |
2.9 GB | Download |
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Checksum: md5:fc71dc2603d6255b28aa6954a0190665
PID: http://hdl.handle.net/11304/5812d529-18e1-42c8-8915-a872ef324662 |
119.6 MB | Download |
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Checksum: md5:8209599720c2b5e0cfde6a985d49d0a3
PID: http://hdl.handle.net/11304/54c88ca2-ec4c-4bab-8d46-ae8d3830d0e4 |
865.8 MB | Download |
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Checksum: md5:e5a5bc0fbc7f3339b4ab5f4229991290
PID: http://hdl.handle.net/11304/c43fefc8-28da-4cb5-845c-7501e615075e |
707.3 MB | Download |
Additional details
Identifiers
- b2rec
- 80df8606fcdb4b2bae1656f0dc6db8ba