Data · dataset · 2022
Allergen30
Listed in Teesside University Research Data Repository
Allergen30 is created with the goal of building a robust detection model that can assist people in avoiding possible allergic reactions.
Description
It contains images of 30 commonly used food items that can cause an adverse reaction within a human body. These food items pertain to specific food intolerances which can trigger an allergic reaction.
Such food intolerance primarily includes Lactose, Histamine, Gluten, Salicylate, Caffeine, and Ovomucoid intolerance. The 30 food items (labels) in the dataset include 'alcohol', 'alcohol glass', 'almond', 'avocado', 'blackberry', 'blueberry', 'bread', 'bread loaf', 'capsicum', 'cheese', 'chocolate', 'cooked meat', 'dates', 'egg', 'eggplant', 'icecream', 'milk', 'milk based beverage', 'mushroom', 'non milk based beverage', 'pasta', 'pineapple', 'pistachio', 'pizza', 'raw meat', 'roti', 'spinach', 'strawberry', 'tomato' and 'whole egg boiled'.
Links
Where it is published
- DOI doi.org/10.17632/9ygs9vhnpw.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 · Deep learning · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/9ygs9vhnpw.1 | 11 d 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:461103 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Deep 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[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | 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 (65%) |
| 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 |