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.

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。