The Growing Strawberries Dataset
收藏资源简介：
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 "<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. 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，GSD）是一款经精心审核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。该数据集由6台摄像头以每小时1帧的频率采集图像，采集周期覆盖2021年至2022年共计16个月，涵盖两座温室中各12株草莓植株。本数据集包含栽培周期内按小时采集的图像、草莓果实的边界框（bounding box，bbox）标注，以及针对草莓的长期精准识别与跟踪信息。GSD包含两类图像：RGB（可见光光谱）与OCN（橙、青、近红外光谱），所有图像均采集自整个栽培周期。每一条图像序列对应单台摄像头在单一年份栽培周期内采集的全部图像，序列命名格式为"<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集，涵盖为期两天的图像与标注数据，同时附带一段时长为七天的演示视频。草莓边界框与运动轨迹的真值标注通过两类文件提供：COCO格式的JSON文件，以及适配多目标跟踪挑战赛（MOT Challenge）评测工具的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，以及同批次采集集中的其他过暗图像。
