The phrase "a benchmarking database" is correct and usable in written English.
You can use it when referring to a database that is used for comparison purposes, typically to evaluate performance or quality against a standard.
Example: "The company developed a benchmarking database to assess the efficiency of its operations compared to industry standards."
Alternatives: "a performance database" or "a comparison database."
Thirdly, a SAM provides a detailed and comprehensive database to construct a computable general equilibrium (CGE) as a benchmark database.
In order to project future global change in tropical canopy structure variables, a benchmark database for contemporary climates is needed.
We propose a benchmark database for evaluating shape-based search methods relevant to the mechanical engineering domain.
The experiments are repeated with conventional draw-quality sheets (DC06) of the same thickness for the purpose of establishing a benchmark database.
A benchmark database of the ear biometric measure is used to illustrate the advantages of the proposed model over existing approaches in the literature.
A benchmark database is constructed and is composed of gait, head, and height biometric scores, including three types of qualities (SR, TR, and view) drawn from a publicly available database: the OU-ISIR Gait Database, Large Population Dataset [27].
We believe that to overcome such a limitation, our proposed database can be used as a benchmark database for the detection and classification of CO positions because of the available labeling information of the CO.
To allow a straightforward comparison with state-of-the-art methods [6, 8 10] the proposed approach has been experimentally tested on a benchmark database of about 4000 images belonging to fifteen different basic categories of scene.
The similarity measure above outperformed other similarity measures proposed in literature (e.g., used in [7, 13]) as reported in Section 4. To allow a straightforward comparison with state-of-the-art methods [6, 8 10] the proposed approach has been experimentally tested on a benchmark database of about 4000 images collected by the authors of [6, 9, 10].
Moreover, the obtained gas holdup information, combined with liquid flow dynamic information reported in Luo and Al-Dahhan (2008a, b), forms a benchmark database for the design and scale-up of airlift column bioreactors and for computational fluid dynamic (CFD) modeling validations.
