Published October 17, 2018
| Version
1.0
Dataset
Open
NFFA-EUROPE - 100% SEM Dataset - Old
Contributors
Related person:
Description
This dataset should not be used, because a huge amount of replicas has been found. Please use the new version.
Dataset of 25,430 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
(10.7 GB)
| Name | Size | Download all |
|---|---|---|
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Checksum: md5:c3a20755e2d937d70dd7d5be18f6006e
PID: http://hdl.handle.net/11304/99cff543-3152-4ede-a6fd-df875587b25a |
704.8 MB | Download |
|
Checksum: md5:86fb065581eb3680f08ab2de9cea86eb
PID: http://hdl.handle.net/11304/32d477d3-3e59-44c5-af8f-6f73bd43ce8a |
81.1 MB | Download |
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Checksum: md5:feb2b098a150c2ba6b6b35f2f18a6e7c
PID: http://hdl.handle.net/11304/c800075a-8f0b-4017-955c-461bd7feae76 |
197.9 MB | Download |
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Checksum: md5:98a988b167ff25528b80ab8bf7585c04
PID: http://hdl.handle.net/11304/54ac9625-7524-4d42-910d-883e3d7c7e00 |
3.3 GB | Download |
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Checksum: md5:005ffe16579c6352d3d521f58de56e8d
PID: http://hdl.handle.net/11304/9cb46071-d4fb-4136-82ec-e63f189ed307 |
2.2 GB | Download |
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Checksum: md5:6b73d88e65d3c00493076238c4230579
PID: http://hdl.handle.net/11304/c8c15d67-023f-4ad1-acad-ac82e483fc3e |
2.5 GB | Download |
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Checksum: md5:851e6daf0e7ce45b68dbe9eb1338807e
PID: http://hdl.handle.net/11304/5e941610-4031-4622-94c8-b90441046e68 |
119.7 MB | Download |
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Checksum: md5:82da8aeb4d7a79c53bc3fefe9770e757
PID: http://hdl.handle.net/11304/bf5e6091-9704-42cc-bee2-1ee64825f43e |
866.7 MB | Download |
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Checksum: md5:0a85315213af1c32a14555d46e8f093a
PID: http://hdl.handle.net/11304/627a30cb-308f-4f46-82ab-075a444ef313 |
709.0 MB | Download |
Additional details
Identifiers
- b2rec
- 655995db63b7425f894eb08b6f67f46b
- b2rec
- ec3355627ec64d6887492aae16b9dd4d