ALGERIA

477 images of grapevine leaves representing 8 different Algerian varieties. Includes the following varieties: - Ichmoul: 69 - Tizi Ouinine: 65 - Bouabane des Aures: 64 - Louali: 64 - Amer Bouamar: 63 - Babari: 61 - Ahmeur Bou Ahmeur: 61 - Ichmoul Bacha: 29 - NA: 1 Project Overview This collection represents the complete, fully reproducible pipeline for a single project focused on the instance and pixel segmentation of grapevine leaves. It includes a total of 8,993 original images and the corresponding 24,940 segmented leaf masks. The collection also contains the instance and pixel segmentation CNN models used to produce these masks. The individual Zenodo uploads correspond to the major project directories and their first-level contents. Project File Structure . ├── LEAF_DATA/ │ ├── ALGERIA/ │ ├── CALIFORNIA/ │ ├── GENEVA/ │ ├── UCDAVIS/ │ ├── VITIS_CROSSES/ │ └── WOLFSKILL/ | ├── FINAL_MASKS/ │ ├── png_masks/ │ ├── master_masks.h5 │ └── master_mask_datasheet.csv | └── LEAF_SEGMENTATION/ ├── models/ └── scripts/本数据集包含477张葡萄叶片图像，涵盖8个不同的阿尔及利亚葡萄品种。 具体品种及对应样本量如下： - Ichmoul：69张 - Tizi Ouinine：65张 - Bouabane des Aures：64张 - Louali：64张 - Amer Bouamar：63张 - Babari：61张 - Ahmeur Bou Ahmeur：61张 - Ichmoul Bacha：29张 - NA（未知样本）：1张 项目概述 本数据集完整复现了一项聚焦葡萄叶片实例分割与像素级分割任务的研究项目的全流程，具备完全可复现性。数据集共包含8993张原始图像，以及与之对应的24940张叶片分割掩码。此外，本数据集还包含用于生成上述分割掩码的实例分割与像素级分割卷积神经网络（Convolutional Neural Network, CNN）模型。本次上传至Zenodo的各个分卷分别对应项目的主要目录及其一级子目录内容。 项目文件结构 . ├── LEAF_DATA/ │ ├── ALGERIA/ │ ├── CALIFORNIA/ │ ├── GENEVA/ │ ├── UCDAVIS/ │ ├── VITIS_CROSSES/ │ └── WOLFSKILL/ │ ├── FINAL_MASKS/ │ ├── png_masks/ │ ├── master_masks.h5 │ └── master_mask_datasheet.csv │ └── LEAF_SEGMENTATION/ ├── models/ └── scripts/