{"url":"/dataset/ov","name":"OV","full_name":null,"description_markdown":"# Description\r\nOV dataset is the camera calibration dataset. There are 16 lenses ranging from 90° to 180° FOV:\r\n\r\n* 2012-A0 (single-plane target)\r\n* 3136-H0 (single-plane target)\r\n* 5501-C4 (single-plane target)\r\n* 130108MP (single-plane target)\r\n* ov00—ov07 (corner target)\r\n* ov00—ov03 (cube target)\r\n\r\nNote: We also provide the other datasets evaluated in the [BabelCalib](https://arxiv.org/abs/2109.09704) paper: [Kalibr](https://vision.in.tum.de/research/vslam/double-sphere), [OCamCalib](https://sites.google.com/site/scarabotix/ocamcalib-toolbox) and [UZH](https://fpv.ifi.uzh.ch/datasets/).\r\n\r\n# Format\r\nThe datasets have a Deltille format. The [Deltille detector](https://github.com/facebookarchive/deltille) is a robust deltille and checkerboard detector. It comes with detector library, example detector code, and MATLAB bindings. [BabelCalib](https://ylochman.github.io/babelcalib) provides functions for calibration and evaluation using the Deltille software's outputs. Calibration from Deltille detections requires format conversion which is peformed by [`import_ODT`](https://github.com/ylochman/babelcalib/blob/main/core/feature/import_ODT.m). Please see a complete [calibration example](https://github.com/ylochman/babelcalib/blob/main/calib_run_opt2.m) from Deltille data.","description_withheld":null,"homepage":"https://ylochman.github.io/babelcalib","introduced_date":"2021-09-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/babelcalib-a-universal-approach-to","title":"BabelCalib: A Universal Approach to Calibrating Central Cameras","first_author":"Yaroslava Lochman","url":null},"license":null,"modalities":[],"tasks":[{"name":"Camera Auto-Calibration","url":"/task/camera-auto-calibration","datasets_with_task":"/datasets/task/camera-auto-calibration"}],"languages":[],"variants":["OV"],"data_loaders":[],"num_papers_in_archive":2,"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."}