Data · dataset · 2026
Soybean Seed Image Dataset for Healthy and Damaged Seed Detection
Listed in Teesside University Research Data Repository
This dataset contains original soybean seed images developed for computer vision and object detection research, with a focus on the detection of healthy and damaged soybean seeds.
Description
The dataset consists of images captured using an Infinix HOT 60i smartphone under controlled imaging conditions, with soybean seeds placed on a white paper background. The dataset contains two classes: healthy seeds and damaged seeds.
The original images are provided in their original form, together with corresponding annotations for object detection. A 640 × 640 pixel version of the images is also provided as a model-ready format for deep learning applications. The dataset is organized into training, validation, and testing subsets.
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The original dataset contains 1,511 images, distributed as 1,209 training images, 151 validation images, and 151 testing images. The dataset was prepared and annotated using Roboflow. The annotations identify individual soybean seed instances according to their visual condition.
The dataset is intended to support research in soybean seed inspection, agricultural computer vision, object detection, deep learning, and automated seed quality assessment. This dataset is associated with the research article “Automated Detection of Healthy and Damaged Soybean Seeds Using YOLO26.” The dataset is provided to support reproducibility and further research in automated soybean seed detection.
Links
Where it is published
- DOI doi.org/10.17632/65rzpcgbp4.3 ↗
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 · Computer vision · Earth & Environmental Science · Life Sciences
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/65rzpcgbp4.3 | 8 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:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| 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%) |
| concepts[modality].local:modality:imaging | 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 |