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SqueakPose Studio Benchmarking Dataset

Year: 2026

Type: dataset

Abstract: This dataset was used to benchmark SqueakPose Studio

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20629814

Author: Haggerty, David

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7164204297

Cites:

Cited by: 1

Related to: 5