Data · dataset · 2025
MangoLeafVarietyBD: An Image Dataset for Multi-Class Mango Variety Classification in Bangladesh
Listed in Teesside University Research Data Repository
The MangoLeafVarietyBD (Raw Images) takes 2,744 original, unprocessed photos of mango leaves directly taken in the field of Thakurgaon District and Daffodil International University (Savar, Dhaka), Bangladesh.
Description
The photos were taken on Samsung Galaxy S24 Ultra and Google Pixel 8 and the background was covered with a white piece of paper to make sure that the visuals were consistent across the photos of every leaf. Eight varieties of mangoes, including Amrapali, Banana, Bandigori, Himsagar, Surjapuri, Harivanga, Kacha Mitha, and Brunei King are included in the dataset.
Each of the images has its label as the class name and is then sorted into class-specific folders that can be used in PyTorch or TensorFlow ImageFolder, allowing the reproducible preprocessing and allowing a fair comparison with other mango variety classification systems designed to be used in a field.
Links
Where it is published
- DOI doi.org/10.17632/hb3kvgfcvm.2 ↗
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
- Artificial intelligence · Computer Science & AI · Computer vision · Deep learning · Earth & Environmental Science · Life Sciences · Machine learning · Plant pathology
- Inferred from text
- Image 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/hb3kvgfcvm.2 | 19 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:310805 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Plant Pathology'] |
| 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:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| 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[field].local:field:life-sciences | 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 |