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 (visual spectrum) 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 "&lt;RGB/OCN-1/2/3-2021/2022&gt;." 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. In addition, we archived further (non-annotated) growth monitoring from 2023 and 2024 and images that were too dark in other datasets of the same collection.草莓生长数据集（Growing Strawberries Dataset，简称GSD）是一款经精心整理的多目标跟踪数据集，其研发初衷源自草莓生长监测场景。该数据集的影像帧由6台摄像头以每小时间隔采集，采集工作于2021年至2022年间开展，总时长共计16个月，监测范围覆盖两座温室中的12株草莓植株。数据集包含栽培周期内每小时采集的影像、草莓果实的边界框（bounding box，简称bbox）标注，以及草莓随时间推移的精准识别与跟踪结果。GSD包含两类影像：RGB（可见光谱）与OCN（橙、青、近红外），所有影像均在整个栽培周期内采集完成。每个影像序列对应单台摄像头在整个栽培周期内采集的全部影像，其命名格式为 `<RGB/OCN-1/2/3-2021/2022>`。此外，数据集还包含由其中一台RGB摄像头采集的小型样本：涵盖两天周期的影像与标注，以及一段时长为七天的演示视频。草莓的边界框与轨迹真值标注通过两类文件提供：COCO格式（Common Objects in Context）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。此外，本数据集还归档了2023年至2024年的额外未标注生长监测数据，以及同批次其他数据集中过暗的影像。