Data · dataset · 2022
Saudi Currency Dataset
Listed in Teesside University Research Data Repository
Automatic detection and recognition of banknotes could be a highly important technology for people with visual impairments as well as banks, providing easy administration for dealing with diverse paper currencies.
Description
With this purpose in mind, we created the Saudi riyal banknotes dataset with annotations. We utilized a smartphone camera to create our new dataset consist of Saudi riyals.
All market-acceptable currency notes are used, including 1, 5 riyal notes, 10 and 20 riyal notes, 50 riyal notes, and new 100, 200, and 500 riyal notes. We capture photos from multiple viewpoints to extract additional information from the image. For each Saudi riyal, we employ twelve distinct angles.
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Our dataset includes 2000 labeled photos. For annotating our photos in our dataset, we utilize Pascal Visual Object Classes. The dataset is made up of "train" and "test" photos in a 90:10 ratio.
Links
Where it is published
- DOI doi.org/10.17632/7sys44td9c.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Computer vision · Deep learning · Earth & Environmental Science · Machine learning
- Inferred from text
- Image 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/7sys44td9c.1 | 17 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].anzsrc:field:461103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Deep Learning'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |