Data · dataset · 2025
An image dataset of Bangladeshi banana variety
Listed in Teesside University Research Data Repository
A comprehensive image dataset of various types of reknown bananas in Bangladesh.
Description
This dataset contains a total of 1351 HD image data in JPG format. The banana variety is collected from different marketplace of Dhaka.
There are 6 types of mangoes in this dataset which contains un-uniforme numbers of image data: 1. Bichi (156 images) 2. Campa (269 images) 3.
Read the rest (2 more)
Kach (219 images) 4. Shobri (178 images) 5. Sagor (295 images) 6.
Bangla (230 images) Each of the variety images are unique and captured from various angle so that the bananas size, shape and texture can be recognize shaprly during image processing. Also, the Dataset is in ZIP format where it contains root folder "Banana_Dataset_1351.zip" which contains 6 sub folders for each variety of banana. Moreover, this dataset is a state-of-the-art banana variety dataset.
Links
Where it is published
- DOI doi.org/10.17632/gjpw58p6pz.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 · Image processing · Life Sciences · Machine learning
- Inferred from text
- Image 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/gjpw58p6pz.1 | 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:460306 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Image Processing'] |
| 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[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 |