Data · dataset · 2026
Dataset for digital of good and bad classes of kheerShapathi Mango(Mangifera indica) slices.
Listed in Teesside University Research Data Repository
This dataset contains digital images of fresh-cut kheerShapathi mango (Mangifera indica L.) slices collected under room temperature conditions for shelf-life analysis.
Description
The objective of this dataset is to observe the visual changes occurring in fresh-cut mango slices during storage and to classify the images into Good and Bad quality categories. One ripe kheerShapathi mango was selected and peeled manually using a stainless steel knife.
The mango pulp was cut into five pieces and each piece was placed separately on a white plastic plate. Images of both the front and back sides of each mango piece were captured using a Redmi 9 smartphone camera (13MP+2MP rear primary camera). The photographs were taken on a white background under indoor room conditions with artificial lighting.
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The samples were kept at approximately 30°C room temperature. The mango pieces were placed on a table and remained exposed to ambient conditions during the experiment. Image acquisition started at 10:00 AM on the first day and continued until 1:00 AM.
On the second day, image collection resumed from 9:00 AM to 11:00 AM. During the first day, images were captured at 10-minute intervals, while on the second day images were captured at 15-minute intervals. A total of 1100 images were collected: 550 Good images 550 Bad images Visual deterioration of mango slices, including browning, color change, and surface quality degradation, started approximately at 6:00 PM on the first day.
Images showing fresh appearance were categorized as Good, while images showing visible deterioration were categorized as Bad. Materials Used: kheerShapathi mango Stainless steel knife White plastic plates White background sheet Table surface Redmi 9 smartphone camera This dataset can be used for image processing, machine learning, computer vision, and shelf-life prediction studies of fresh-cut mango slices.
Links
Where it is published
- DOI doi.org/10.17632/zp64pgghd7.1 ↗
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
- Earth & Environmental Science · Life Sciences
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/zp64pgghd7.1 | 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].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%) |
| concepts[modality].local:modality:tabular | 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 |