Datasets:
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': asymptomatic_or_negative
'1': symptomatic_or_positive
splits:
- name: train
num_bytes: 104912077
num_examples: 3195
download_size: 105016628
dataset_size: 104912077
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-nc-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
Gvsdb Grapevine Virus
The Grapevine Virus and Symptom Database (GVS-DB) holds 3,195 photographs of grapevine leaves from vineyards around Ensenada, Baja California, Mexico, sampled in 2022 and 2023 (CICESE), in two classes as published: asymptomatic_or_negative (1,534) and symptomatic_or_positive (1,661) for grapevine leafroll disease and grapevine red blotch disease. Most photographs show a single detached leaf laid on a white board, with a minority of in-vineyard canopy shots; symptomatic leaves show the reddening and interveinal discolouration of these virus diseases. The record also ships a spreadsheet of real-time PCR diagnostics (GLRaV-1 to GLRaV-4 and GRBV) per sampled vine, but the photographs are numbered sequentially and do not reference the sample codes, so the PCR results cannot be attached to individual images; the class folder is the only per-image label and it mixes visible symptom status with molecular status. The dataset contains 3,195 images across 2 classes: asymptomatic_or_negative, symptomatic_or_positive.
Images per class:
- asymptomatic_or_negative: 1,534
- symptomatic_or_positive: 1,661
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
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The dataset itself can be cited as:
García, K., & Carrillo Tripp, J. (2025). Grapevine Virus and Symptom Database (GVS-DB) [Dataset]. Mendeley Data. https://doi.org/10.17632/WKBD3WSJPJ.1
This dataset was reformatted from its original format to match HuggingFace standards.