Dataset

China has experienced a rapid urbanization over the past three decades, resulting in a prominent “urban core-suburban-rural” (USR) triad structure of human settlements. The USR disparities, which are related to the spatial variations of human activity intensity, have significant impacts on the spatiotemporal variations in various environmental issues such as carbon dioxide (CO2) emissions, carbon storage, water quality, etc. However, there is a lack of national-level, long-term USR dataset compared to the large number of “Urban-Rural” dual structure datasets.

This dataset presents a synthetic thermal imaging dataset for Person Detection in Intrusion Warning Systems (PDIWS). The dataset consists of a training set with 2000 images and a test set with 500 images. Each image is synthesized by compounding a subject (intruder) with a background using the modified Poisson image editing method. There are 50 different backgrounds and nearly 1000 subjects divided into five classes according to five human poses: creeping, crawling, stooping, climbing and other. The presence of the intruder will be confirmed if the first four poses are detected.

This data collection focuses on capturing user-generated content from the popular social network Reddit during the year 2023. This dataset comprises 29 user-friendly CSV files collected from Reddit, containing textual data associated with various emotions and related concepts.

Accurate detection and segmentation of apple trees are crucial in high throughput phenotyping, further guiding apple trees yield or quality management. A LiDAR and a camera were attached to the UAV to acquire RGB information and coordinate information of a whole orchard. The information was integrated by simultaneous localization and mapping network to form a dataset of RGB-colored point clouds. The dataset can be used for methods related to apple detection and segmentation based on point clouds.