faCRSA: a well-labled dataset for wheat root segmentation

This dataset is primarily intended for training and evaluating deep learning models for semantic segmentation of roots from soil and is structured in the VOC2007 standard format.The data was collected from an experiment at Nanjing Agricultural University, featuring the wheat cultivar 'Yangmai 16' grown in rhizoboxes.

The experiment included control, drought, and waterlogging treatment groups.Image acquisition was performed every two days using a fixed Canon EOS 550D digital camera inside a shooting chamber with integrated LEDs to ensure consistent lighting. The original high-resolution RGB images (1430 × 4500 pixels) were then processed5. Each image was cropped into six smaller patches (715 × 1500 pixels).