The Growing Strawberries Dataset

The Growing Strawberries Dataset (GSD) is a curated multiple-object tracking dataset inspired by the growth monitoring of strawberries. The frames were taken at hourly intervals by six cameras for in total of 16 months in 2021 and 2022, covering 12 plants in two greenhouses respectively. The dataset consists of hourly images collected during the cultivation period, bounding box (bbox) annotations of strawberry fruits, and precise identification and tracking of strawberries over time. GSD contains two types of images - RGB (color) and OCN (orange, cyan, near-infrared). These images were captured throughout the cultivation period. Each image sequence represents all the images captured by one camera during the year of cultivation. These sequences are named using the format "<RGB/OCN-1/2/3-2021/2022>." In addition, a small sample captured by one of the RGB cameras is included, featuring images and annotations from a two-day period, along with a demo video spanning seven days. The ground-truth annotations of the bbox and trajectories of strawberries are provided with a coco-format JSON file and a TXT file for compatibility with the MOT Challenge evaluation tools. Images that were too dark for annotations are also available upon request.

生长草莓数据集（Growing Strawberries Dataset，GSD）是一套经精心甄选整理的多目标跟踪数据集，其设计初衷源于草莓生长监测应用场景。该数据集于2021年至2022年间，由6台摄像头以每小时一帧的频率采集图像，总采集时长达16个月，覆盖两座温室内的共计12株草莓植株。本数据集包含栽培周期内每小时采集的图像、草莓果实的边界框（bounding box，bbox）标注，以及草莓个体随时间推移的精准识别与跟踪信息。GSD包含两类图像：RGB（彩色）图像与OCN（橙、青、近红外）图像，所有图像均采集于整个草莓栽培周期内。每一条图像序列对应单台摄像头在完整栽培年度内采集的全部图像，此类序列的命名格式为 `<RGB/OCN-1/2/3-2021/2022>`。此外，数据集还附带了一组由某台RGB摄像头采集的小型样本：包含两天周期内的图像与标注文件，以及一段时长七天的演示视频。草莓的边界框与运动轨迹真值标注以两种格式提供：COCO格式的JSON文件，以及适配MOT Challenge评估工具的TXT文件。若有需求，亦可提供因光照过暗无法完成标注的图像文件。

搜集汇总

背景与挑战

背景概述

The Growing Strawberries Dataset是一个专注于草莓生长监测的多目标跟踪数据集，包含2021年至2023年在荷兰两个温室中采集的每小时RGB和OCN图像、边界框注释和果实轨迹跟踪信息。该数据集适用于计算机视觉和农业科学研究，具有长期、多视角和详细注释的特点，支持多目标跟踪任务和生物发育分析。