Published October 17, 2018
| Version
1.0
Dataset
Open
NFFA-EUROPE - Majority 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 25,537 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
(7.5 GB)
| Name | Size | Download all |
|---|---|---|
|
Checksum: md5:de3860deab60d6f61c90128674e200cf
PID: http://hdl.handle.net/11304/87e17ce1-6e42-45fa-b432-12aab386c5ff |
710.3 MB | Download |
|
Checksum: md5:e0e3fb9957efc2cf35c50680bc19d97a
PID: http://hdl.handle.net/11304/4fdd1e9d-618a-4656-894e-64135fc5a09b |
86.6 MB | Download |
|
Checksum: md5:f8867e0f2f3c25ba50168c23506865e4
PID: http://hdl.handle.net/11304/307f6404-6bad-41f9-b754-8a58b667d543 |
206.8 MB | Download |
|
Checksum: md5:8902e812f024a7fb0f35bac46347eccc
PID: http://hdl.handle.net/11304/132b0210-b49b-4b8d-850f-ab4dd7c6e19c |
2.2 GB | Download |
|
Checksum: md5:574dc286654f2ac5a5346cab3155cda2
PID: http://hdl.handle.net/11304/a5795bc1-0e21-48d4-95ad-8f20caf7a636 |
2.5 GB | Download |
|
Checksum: md5:a9c1c95421277514e12bc21bb424c9ae
PID: http://hdl.handle.net/11304/ff491af4-2037-40cb-8487-e3969b8a54c8 |
123.5 MB | Download |
|
Checksum: md5:4cc608a22bb0cbe1fd6ac3450d22e773
PID: http://hdl.handle.net/11304/6c2c6cb6-ca7a-4da6-8873-a11d73406669 |
880.9 MB | Download |
|
Checksum: md5:f3621d74142bdd78bc9abfc27763ddcf
PID: http://hdl.handle.net/11304/5305e5b9-95ad-4b85-86b8-c85922b186b7 |
710.0 MB | Download |
Additional details
Identifiers
- b2rec
- 7dd124bd165a48b5a7d51e328cd88ba3
- b2rec
- 7210bc2de29b4fd28707a46184162bae