Berkeley segmentation dataset. Home Page: Berkley Computer Vision Group, you can download the entire set from here. You can also find it on paperswithcode. The Berkeley Semantic Boundaries Dataset and Benchmark (SBD) is available [here]. BSD100 is the testing set of the Berkeley segmentation dataset BSD300. . It consists of 500 images, each with 5 different ground truth segmentations of high quality, divided into a training set of 200 images, a validation set of 100 images and a test set of 200 images. Jul 14, 2025 ยท Image segmentation is a crucial task in computer vision, aiming to partition an image into multiple segments or regions to simplify the image's representation and analysis. Page generated Fri Oct 31 12:01:51 2003. DataLoader: Berkeley Segmentation Dataset 500 BSDS500 (Berkley Segmentation Dataset) is a dataset primarily for Image segmentation and boundary detection. We used this dataset in our FSRCNN ECCV 2016 paper. wpnzkx1 bvzr zl7qcx 4mr f0tv9a ezil 8faga2 v3 j5mw 9lw