TRIBE LAB @ INESC TEC datasets

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Published September 11, 2024 | Version 0.0.1
Dataset Restricted

Dataset INCAFO - Grapevine variety identification using leaves

Creators

  • 1. ROR icon INESC TEC
  • 2. Vimétrica Agro, Lda
  • 3. ROR icon Instituto Nacional de Investigação Agrária e Veterinária

Description

This dataset contains multiple samples of grapevine leaves for variety identification. The data identified the most common grapevine varieties in Portugal and some of the most common in Europe. 

The current dataset was designed for image classification in a Tree Folder Structure

 

Data characterization

The data is composed of digitalized images in multiple forms. The leaves were digitalized with a neutral background for easier differentiation. The original images were resized for a workable size: (512 x 428) px. 

The peduncle is removed for each leaf, and the leaf is flattened. Most of the images have to be preprocessed for label removal.

 

Dataset characterization

The dataset has 37 classes:

  • Alfrocheiro
  • Alicante Bouschet
  • Alvarinho
  • Antão Vaz
  • Aragonez
  • Arinto
  • Arinto dos Açores
  • Baga
  • Bical
  • Boal Espinho
  • Cabernet Sauvignon
  • Castelão
  • Cercial
  • Chardonnay
  • Encruzado
  • Fernão Pires
  • Gouveio
  • Jaen
  • Loureiro
  • Malvasia Fina
  • Moreto
  • Negra Mole
  • Rufete
  • Sercial
  • Síria
  • Syrah
  • Terrantez do Pico
  • Tinta Barroca
  • Tinta Negra
  • Tinto Cão
  • Touriga Franca
  • Touriga Nacional
  • Trajadura
  • Trincadeira
  • Verdelho
  • Vinhão
  • Viosinho

 

The dataset follows an Image Tree Folder structure, such as

  • train
    • class 1
      • img.jpg
      • ...
    • ...
  • test
    • class 1
      • img.jpg
      • ...
    • ...
  • val
    • class 1
      • img.jpg
      • ...
    • ...

 

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Additional details

Additional titles

Alternative title (Portuguese)
Dataset INCAFO - Identificação de castas usando a folha

Related works

Is supplement to
Publication: 10.1109/JSEN.2023.3261544 (DOI)

Funding

Fundação para a Ciência e Tecnologia
INCAFO - Identificação de Variedade de Videira Através da Folha POCI-01-0247-FEDER-068922