BSDS500 Dataset

Berkeley Segmentation Data Set 500 (BSDS500) is a standard benchmark for contour detection. This dataset is designed for evaluating natural edge detection that includes not only object contours but also object interior boundaries and background boundaries. It includes 500 natural images with carefully annotated boundaries collected from multiple users. The dataset is divided into three parts: 200 for training, 100 for validation and the rest 200 for test.

伯克利分割数据集500（BSDS500）是轮廓检测的标准基准。该数据集旨在评估自然边缘检测，不仅包括物体轮廓，还包括物体内部边界和背景边界。该数据集包含500张自然图像，这些图像由多位用户精心标注的边界收集而来。数据集分为三部分：200张用于训练，100张用于验证，剩余的200张用于测试。