Dataset · Hugging Face

ezharjan/PnPCorrespondences

Name: PnPCorrespondences
Creator: ezharjan
License: cc-by-4.0
Keywords: task_categories:robotics, task_categories:tabular-regression, task_categories:other, annotations_creators:machine-generated, source_datasets:original, language:en, license:cc-by-4.0, size_categories:100K<n<1M, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant

Dataset Card for PnPCorrespondences Ezharjan/PnPCorrespondences is a fully synthetic, image-free dataset of 2D-3D point correspondences with exact ground truth, built for benchmarking Perspective-n-Point (PnP) solvers, robust estimators, bundle adjustment and camera-calibration methods. Every sample is a set of 3D world points, their (noisy) 2D pixel observations and the exact camera intrinsics, lens distortion and extrinsics that produced them. Curated by: Aizierjiang… See the full description on the dataset page: https://huggingface.co/datasets/ezharjan/PnPCorrespondences.

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Author / organization	ezharjan
License (as declared)	cc-by-4.0
Downloads	189 (as reported by Hugging Face)
Likes	0
Created	4 September 2026
Last updated at source	4 September 2026

pnpperspective-n-pointcamera-pose-estimationcamera-resectioningcamera-calibration2d-3d-correspondencespoint-correspondencesmultiple-view-geometryprojective-geometrygeometric-computer-vision3d-visioncomputer-visionlens-distortionbrown-conradykannala-brandtfisheyecamera-intrinsicscamera-extrinsicsransacmagsacbundle-adjustmentoutlier-robustnessstructure-from-motionslam

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