2026-10-14T22:36:48Z https://www.scidb.cn/oai

10.57760/sciencedb.012mg 2026-09-16T17:02:36Z

2026-09-16 UAV Remote Sensing Image Dataset for Agricultural Residual Plastic Film Identification doi:10.57760/sciencedb.012mg en This dataset is developed for agricultural residual plastic film identification and intelligent monitoring using unmanned aerial vehicle (UAV) remote sensing imagery. A total of 1,523 UAV remote sensing images are included, and all images have a unified resolution of 1600 × 1300 pixels. Residual plastic film targets in the images were manually annotated using LabelMe with polygon-based annotations. The dataset provides the original JPG images, corresponding LabelMe JSON annotation files, and binary segmentation masks. The dataset can support research on residual plastic film detection, semantic segmentation, instance segmentation, and related deep learning-based visual tasks, providing a data foundation for automated agricultural residual plastic film identification using UAV remote sensing. UAV remote sensing; agricultural residual plastic film; residual plastic film identification; remote sensing imagery; image dataset; object detection; image segmentation; deep learning zhao xin miao Dilixiati Dolikun Xu Jin Ansi PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank