Agricultural Flood Disaster Insurance Claim Image Dataset

The current agricultural industry faces the frequent problem of flood disasters, causing severe economic losses to farmland. Traditional claim methods rely on manual inspection, which is inefficient and prone to errors. Existing claim systems are mostly manual audits, lacking efficient automated recognition tools. This dataset aims to help AI systems achieve automatic recognition and damage assessment by providing high-quality flood disaster images, thus improving claim efficiency. The dataset is collected by professionals in real flood disaster environments, captured using high-resolution cameras to ensure image quality. We have adopted measures such as multiple rounds of labeling and consistency checks for quality control, ensuring the precision and consistency of data labeling. Data is stored in JPEG format, organized by time and location, facilitating subsequent analysis and use.