Tomato Leaf Image Dataset (TLID/PTLID)

Tomato Cultivation in Greenhouses - This is a new dataset with images of tomato leaves grown in greenhouses containing healthy and diseased leaves images. The dataset is divided into two parts. The first one is called Tomato Leaf Image Dataset (TLID), and it has 15,260 images of size of 256×256 pixels. The dataset includes seven classes of images: Healthy, Leaf Miner, Powdery Mildew, Bacterial Spot, Whitefly, Powdery Mildew and Leaf Miner, and Bacterial Spot and Leaf Miner. The second part, the Patch-based Tomato Leaf Image Dataset (PTLID), has the patch images of the TLID. For this, we subdivided each image leaf of the TLID dataset into 64 patch images with a size of 32×32 pixels.

温室番茄种植数据集——本数据集为全新构建的图像数据集，收录温室种植环境下的番茄叶片样本，涵盖健康叶片与各类病害叶片图像。数据集共分为两个子数据集：
第一子数据集命名为番茄叶片图像数据集（Tomato Leaf Image Dataset, TLID），共包含15260张分辨率为256×256像素的叶片图像。该数据集涵盖7个图像类别：健康叶片、斑潜蝇为害叶片、白粉病侵染叶片、细菌性斑点病侵染叶片、烟粉虱为害叶片，以及两种复合为害类别：白粉病与斑潜蝇复合为害、细菌性斑点病与斑潜蝇复合为害。
第二子数据集为基于切块的番茄叶片图像数据集（Patch-based Tomato Leaf Image Dataset, PTLID），其样本来源于TLID的图像切块：我们将TLID中的每张叶片图像分割为64张尺寸为32×32像素的切块图像，以此构建该子数据集。

搜集汇总

背景与挑战

背景概述

该数据集包含15,260张256×256像素的番茄叶图像，分为健康叶片和六种病害叶片共七类。此外，还提供了将每张图像分割为64个32×32像素小块的PTLID数据集，适用于温室番茄栽培的病害识别和机器学习应用。