| dc.contributor.author |
Angelis, André Franceschi de |
|
| dc.date |
2025-10-13 |
|
| dc.date.accessioned |
2025-10-04 |
|
| dc.date.accessioned |
2025-10-15T01:11:53Z |
|
| dc.date.available |
2025-10-15T01:11:53Z |
|
| dc.identifier.uri |
https://doi.org/10.25824/redu/S1OJFI |
|
| dc.identifier.uri |
https://redu.unicamp.br/dataset.xhtml?amp;persistentId=doi:10.25824/redu/S1OJFI |
|
| dc.description |
This repository stores a dataset of high-quality images of stems from 4 sugarcane varieties, obtained under controlled laboratory conditions, built to train Artificial Intelligence systems to perform classification processes. Captured using a full-frame mirrorless camera, the images feature the stems on a neutral black background, with no post-processing applied.
The dataset contains images of sugar cane stems captured directly from the camera. It is organized into four compressed files, each representing a specific variety. Inside these files there are JPEG images, approximately 5 megapixels in size, portraying individual or grouped samples. All images were done under the same standardized light conditions. |
|
| dc.description.sponsorship |
No Funder |
|
| dc.format |
application/zip |
|
| dc.format |
application/pdf |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.format |
application/zip |
|
| dc.format |
image/jpeg |
|
| dc.format |
image/jpeg |
|
| dc.format |
image/jpeg |
|
| dc.publisher |
Franceschi de Angelis, André |
|
| dc.subject |
Agricultural Sciences |
|
| dc.subject |
Computer and Information Science |
|
| dc.subject |
Earth and Environmental Sciences |
|
| dc.title |
High-quality images of four varieties of sugarcane stalks at the age of 10 months |
|
| dc.description.sponsorshipId |
0000 |
|