Farmland Fence Detection Dataset

The current agricultural industry faces challenges such as low efficiency in farmland management and difficulties in monitoring. Traditional manual inspection methods are not only time-consuming and labor-intensive but also prone to omissions. Existing monitoring solutions mostly rely on fixed cameras, which cannot adapt to the dynamic nature of farmland in real time, resulting in insufficient timeliness and accuracy of data. This dataset aims to help researchers and developers train efficient object detection models by providing a large number of farmland fence detection images, thereby enhancing the intelligence level of farmland monitoring. For data collection, drones are used to capture images of farmland fences under different times and weather conditions, ensuring diversity and comprehensiveness of the data. Quality control measures include multiple rounds of annotation and expert review to ensure consistency and accuracy of annotations. Data is stored with images in JPG format and annotations in JSON format, facilitating quick reading and processing.