Dataset · Hugging Face

qq456cvb/PACE

Name: PACE
Creator: qq456cvb
License: mit
Keywords: task_categories:object-detection, task_categories:robotics, license:mit, size_categories:1K<n<10K, format:text, modality:text, modality:3d, library:datasets, library:mlcroissant, arxiv:2312.15130, region:us, pose-estimation, 6d-pose-estimation, category-level-pose-estimation, object-pose-tracking

PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments (ECCV 2024) PACE is a large-scale benchmark for object pose estimation and tracking in cluttered, real-world scenes, covering both instance-level and category-level tasks. 55K real frames with 258K pose annotations across 300 videos 238 objects from 43 categories, rigid and articulated Annotated with a calibrated 3-camera RGB-D capture rig PACESim: 100K photo-realistic simulated frames with 2.4M… See the full description on the dataset page: https://huggingface.co/datasets/qq456cvb/PACE.

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Author / organization	qq456cvb
License (as declared)	mit
Downloads	5K (as reported by Hugging Face)
Likes	1
Created	12 June 2024
Last updated at source	6 October 2026

pose-estimation6d-pose-estimationcategory-level-pose-estimationobject-pose-trackingboprgb-d3deccv2024

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