BIPED Dataset

Details
It contains 250 outdoor images of 1280$\times$720 pixels each. These images have been carefully annotated by experts on the computer vision field, hence no redundancy has been considered. In spite of that, all results have been cross-checked several times in order to correct possible mistakes or wrong edges by just one subject. This dataset is publicly available as a benchmark for evaluating edge detection algorithms. The generation of this dataset is motivated by the lack of edge detection datasets, actually, there is just one dataset publicly available for the edge detection task published in 2016 (MDBD: Multicue Dataset for Boundary Detection—the subset for edge detection). The level of details of the edge level annotations in the BIPED’s images can be appreciated looking at the GT, see Figs above.

BIPED dataset has 250 images in high definition. Thoses images are already split up for training and testing. 200 for training and 50 for testing.

Version
The current version is the second one.

本数据集包含250张高清户外图像，每张图像分辨率为1280×720像素。这些图像已由计算机视觉领域的专家精心标注，故未考虑冗余。尽管如此，所有结果均已多次交叉验证，以确保仅由一位标注者可能出现的错误或边缘偏差得到纠正。该数据集作为边缘检测算法评估的基准，对外公开发布。该数据集的生成源于边缘检测数据集的匮乏，事实上，截至目前，公开可用的针对边缘检测任务的唯一数据集为2016年发布的MDBD：边界检测的多线索数据集（针对边缘检测的子集）。BIPED图像中边缘级别标注的详细程度可通过查看高保真图像（GT）而得到欣赏，详见上方图表。BIPED数据集包含250张高清图像，已划分为训练集和测试集，其中200张用于训练，50张用于测试。版本方面，当前版本为第二版。