{"url":"/dataset/tech4diet-cubes-dataset","name":"Tech4Diet Cubes Dataset","full_name":null,"description_markdown":"This dataset consists of RGB-D images captured using 12 Intel RealSense cameras. Each image depicts a calibration cube placed in various positions and orientations within a controlled environment. The dataset is specifically designed for evaluating and benchmarking multi-view RGB-D camera calibration.","description_withheld":null,"homepage":"https://tech4d.ua.es/","introduced_date":"2025-05-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/marker-based-extrinsic-calibration-method-for","title":"Marker-Based Extrinsic Calibration Method for Accurate Multi-Camera 3D Reconstruction","first_author":"Nahuel Garcia-D'Urso","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Spanish","url":"/datasets/language/spanish"}],"variants":["Tech4Diet Cubes Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}