Date Fruit Dataset for Automated Harvesting and Visual Yield Estimation

The date fruit dataset was created to address the requirements of many applications in the pre-harvesting and harvesting stages. The two most important applications among them are automatic harvesting and visual yield estimation. The first dataset consists of 8079 images of more than 350 date bunches captured from 29 date palms. The date bunches belong to five date types: Naboot Saif, Khalas, Barhi, Meneifi, and Sullaj. The pictures of date bunches were captured using a color camera in six imaging sessions. The imaging sessions covered all date maturity stages: immature, Khalal, Rutab, and Tamar. The dataset is provided with a large degree of variations that represent the challenges occurs in a natural environment and date fruit orchards. This variation in images includes different angels and scales, different daylight conditions having poor illumination images, and date fruits covered by bags. The dataset was fully labeled according to type, maturity, and harvesting decision. We can use this dataset in many applications including fruit detection, segmentation, classification, maturity analysis, and automatic harvesting. The second dataset contains images, videos, and weight measurements to help in many applications such as yield estimation. In this dataset, we marked date bunches for selected palms, recorded 360° video for each palm, and measured their data (height, trunk circumference, total yield, number of bunches, and weight of bunches). We also captured images of each bunch from different angles before harvesting and on a graph paper after harvesting. Both datasets have been arranged with a coding scheme to simplify referring, linking, and facilitating future extensions of the dataset.本椰枣果实数据集旨在满足收获前与收获阶段诸多应用场景的需求，其中两类核心应用为自动采收与可视化产量预估。 第一数据集包含8079幅图像，涵盖从29棵椰枣树（date palm）采集的350余串椰枣果穗（date bunch）。该批果穗涵盖5个椰枣品种：Naboot Saif、Khalas、Barhi、Meneifi及Sullaj。果穗图像通过彩色相机完成采集，共开展6次成像作业，覆盖椰枣全部成熟度阶段（maturity stage）：未成熟（immature）、Khalal、Rutab与Tamar。 该数据集包含大量能反映自然环境与椰枣园实际挑战的图像变异场景，涵盖不同拍摄角度与尺度、光照不佳的低照度画面，以及套袋遮挡的椰枣果实。 本数据集已依据品种、成熟度及采收决策完成全标注，可应用于诸多任务，包括果实检测、分割、分类、成熟度分析及自动采收等。 第二数据集包含图像、视频与重量测量数据，可支撑产量预估等诸多应用场景。 该数据集针对选定椰枣树的果穗进行标记，为每棵椰枣树录制360°视频，并采集相关测量数据：树高、树干周长、总产量、果穗数量及单串果穗重量。 此外，我们在采收前从不同角度采集每串果穗的图像，并在采收后将果穗置于坐标纸上拍摄图像。 两个数据集均采用编码方案进行组织，以简化检索、关联操作，并便于未来的数据集扩展。

搜集汇总

背景与挑战

背景概述

该数据集专为椰枣收获前和收获阶段的应用设计，主要包括两部分：第一部分包含8079张椰枣串图像，涵盖5种类型、4个成熟阶段，具有多角度、光照变化等自然条件挑战，并标注了类型、成熟度和收获决策；第二部分包括图像、视频和重量测量数据，用于产量估计。数据集适用于水果检测、分割、分类、成熟度分析和自动收获等应用。