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BSD is a dataset used frequently for image denoising and super-resolution. Of the subdatasets, BSD100 is aclassical image dataset having 100 test images proposed by Martin et al.. The dataset is composed of a large variety of images ranging from natural images to object-specific such as plants, people, food etc. BSD100 is the testing set of the Berkeley segmentation dataset BSD300. Source: A Deep Journey into Super-resolution: A Survey Image Source: https://www.slideshare.net/jbhuang/single-image-super-resolution-from-transformed-selfexemplars-cvpr-2015

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. Source: Object Contour Detection with a Fully Convolutional Encoder-Decoder Network Image Source: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/resources.html

Color BSD68 dataset for image denoising benchmarks is part of The Berkeley Segmentation Dataset and Benchmark. It is used for measuring image denoising algorithms performance. It contains 68 images. Source: https://github.com/clausmichele/CBSD68-dataset

Using the proposed beam-splitter acquisition system, we have collected a new real-world video deblurring dataset (BSD). We collected blurry/sharp video sequences for three different blur intensity settings (sharp exposure time – blurry exposure time), 1ms–8ms, 2ms–16ms, and 3ms–24ms(most blur), respectively. Github

BRIND is a short name of BSDS-RIND is the first public benchmark that dedicated to studying simultaneously the four edge types, namely Reflectance Edge (RE), Illumination Edge (IE), Normal Edge (NE) and Depth Edge (DE)

The buildingSMART Data Dictionary (bSDD) is an online service that hosts classifications and their properties, allowed values, units and translations. The bSDD allows linking between all the content inside the database. It provides a standardized workflow to guarantee data quality and information consistency. BIM modelers use the bSDD to have easy and efficient access to all kinds of standards to enrich their model. BIM Managers use the bSDD to check BIM data for validity. Advanced users use the contents from the bSDD to check compliance, automatically find manufactures products, extend IFC, create Information Delivery Specifications (IDS) and much more. Besides national classification systems (Uniclass, Minnd, etc) and application specific standards (ETIM, UniversalTypes, IfcAirport, etc) project specific, National and company specific standards can be stored in bSDD as well. The internal structure can facilitate ISO 12006-3, ISO 23386 and Linked Data publications.