Data · dataset · 2025
Database of stinkbug images in soybean crops
Listed in REDU - Unicamp Institutional Research Data Repository
This document is a database of images of two species of stinkbugs in soybean fields.
Description
Some images are authentic and registered in commercial areas, and parts are synthetic, i.e., they were created for deep learning training. The authentic images were collected in the field using a Huawei P30lite mobile camera with three cameras (24 Mp + 8 Mp + 2 Mp), 5,632 x 4,224 pixels resolution, and a 1/2" sensor shooting in automatic mode, from 0.10 to 0.30m distant from leaves and insects.
The synthetic images created were described in the PhD thesis “SPATIAL INSECT FIELD SCOUTING USING DIGITAL IMAGES AND NEURAL NETWORKS”. Authentic images are .JPG files, and Synthetic images are .PNG files. All images are labelled in YOLO format (CVAT type YOLO1.1).
Read the rest (1 more)
Check the README file for the files' content.
Links
Where it is published
- Dataverse dataset page redu.unicamp.br/dataset.xhtml?persistentId=doi%3A10.25824%2Fredu%2FSEKNEZ ↗
landing page · from redu unicamp br
- DOI doi.org/10.25824/redu/seknez ↗
DOI / persistent id · from redu unicamp br
Catalogue records · 1
- Dataverse API redu.unicamp.br/api/datasets/:persistentId/?persistentId=doi%3A10.25824%2Fredu… ↗
metadata API · from redu unicamp br
Topics
- Stated by source
- Agricultural Sciences
- From keywords
- Artificial intelligence · Computer Science & AI · Life Sciences
- Inferred from text
- Image 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| REDU - Unicamp Institutional Research Data Repository | doi:10.25824/redu/SEKNEZ | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4602 | mapping · redu unicamp br | vocabulary-mapper@1.0.0 | keywords['Artificial intelligence'] |
| concepts[field].dataverse_subject:agricultural-sciences | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · redu unicamp br | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| description | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /description |
| publication_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| title | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /name |
| updated_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| version_label | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 |