HSR-FP-SEG

We provide an open-access and well-annotated sample dataset for semantic segmentation of floatable plastics along Beijing-Shanghai high-speed railway of China, HSR-FP-SEG, which includes three categories of plastic mulching films, plastic greenhouses, plastic dust-proof nets.The VHR satellite imagery used is derived from Google Earth at 18-level with a spatial resolution of 1 m/pixel. Before labelling, all the VHR images are cropped into 512×512 patches.

LabelImg was used for the pixel-wise annotation of all the floatable plastics. Meanwhile, the ratio of plastic mulching films, plastic greenhouses and plastic dust-proof nets is set to be 1:1:1, each with 500 samples and resulting in a total of 1,500 samples. Afterwards, the total sample dataset is split into training set, validation set and test set with a ratio of 7:1:2.