Corn and Weed Semantic Segmentation Test Dataset

This dataset contains 325 RGB images and 325 corresponding pixel-wise semantic segmentation masks for corn and weed detection. The image files are named img0 to img324, and the corresponding masks are named mask0 to mask324. Each image and mask pair share the same numeric index. The dataset was prepared for testing and qualitative evaluation of a semantic segmentation model for corn and weed detection in top-down agricultural images. The masks were generated and preprocessed for the classes background, corn, and weed.