Data · dataset · 2025
Banana Bunch Harvesting Expert Dataset
Listed in Teesside University Research Data Repository
Dataset overview: This dataset includes images of banana bunches collected from various fields on the island of Madeira, Portugal.
Description
The dataset includes four different fields through 2022: Câmara de Lobos on July 25th, Lugar de Baixo on May 17th and 31st, Ponto do Sol on May 20th, June 3rd, August 22nd and October 26th, Santo António on June 7th. The dataset includes a total of 400 samples collected by banana harvesting cutters, opinion based on decision made using digital images.
Data collection process: The dataset was gathered in 2022 using a variety of smartphone cameras, which includes Samsung Galaxy A12, Galaxy Note 9, One Plus 9 and Iphone 12. The wide range of cameras used to gather images in various environments has improved the resilience and generalizability of possible machine learning models. Labels and captions: The bunch of bananas visible in the final images underwent a laborious human labelling process in order to receive the correct caption.
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The generated label collection is used to compare the images, which could offer crucial baseline information for developing and testing object detection models. Data usage: The main objective of the study is to evaluate how well banana bunch harvesting decisions made by cutters using digital image inspection compared to those made in the field. This dataset can be used by researchers for tasks including model training, benchmarking, and perform model tuning.
Links
Where it is published
- DOI doi.org/10.17632/kk88rgfr55.1 ↗
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 · Earth & Environmental Science · Engineering · Life Sciences · 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/kk88rgfr55.1 | 14 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: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:engineering | 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 |