Project AURIONAI Use-Cases Research & Innovation
University of Sydney
vision

ViTPose

Plain vision transformer baselines for human pose estimation, from the University of Sydney.

University of SydneyUniversity of SydneyAustraliaJD.comJD.comChina
Chart of pose estimation accuracy versus throughput for ViTPose models against other methods, from the model card.
Levelmodel
Classvision
Parameters90M
Contextnot in the notes
Released26 Apr 2022
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

R&D Topics

Human pose estimationexemplar

Identity

Developer
University of Sydney, JD.com
Family
not in the notes
Released
26 Apr 2022 sourcesannouncement page
Weights published
8 Jan 2025
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
dense transformer
Total parameters
90M sources
Active parameters
–
Checkpoint parameters
–
Note
ViTPose B and ViTPose++ S, B, L, H.
Context length
not in the notes
Input
image
Output
labels and boxes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2204.12484 https://arxiv.org/abs/2204.12484
  2. huggingface.co/usyd-community/vitpose-base https://huggingface.co/usyd-community/vitpose-base
  3. huggingface.co/api/models?pipeline_tag=keypoint-detection&so... https://huggingface.co/api/models?pipeline_tag=keypoint-detection&sort=downloads&limit=50
  4. huggingface.co/usyd-community/vitpose-plus-base https://huggingface.co/usyd-community/vitpose-plus-base
  5. github.com/open-mmlab/mmpose/tree/main/configs https://github.com/open-mmlab/mmpose/tree/main/configs
  6. arxiv.org/html/2204.12484 https://arxiv.org/html/2204.12484

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "ViTPose", https://aurion.semai.id/models/vitpose/, records of October 2026.