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）是一款受草莓生长监测任务启发而构建的经人工甄选整理的多目标跟踪数据集。该数据集的帧数据由6台摄像头以每小时1帧的间隔采集，采集周期覆盖2021年至2022年共计16个月，涉及两个温室中的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栽培周期内。每个图像序列对应单台摄像头在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，数据集还包含一款由其中一台RGB摄像头采集的小型样本集，涵盖为期两天的图像与标注数据，同时附带一段时长七天的演示视频。草莓边界框与跟踪轨迹的真实标注（ground truth）以两种格式提供：COCO格式的JSON文件，以及适配多目标跟踪挑战赛（MOT Challenge）评估工具的TXT文件。因光线过暗无法完成标注的图像，可应要求另行提供。