vision
VGG-16
16-layer VGG image classifier trained on ImageNet; the most used VGG variant.
Levelvariant
Classvision
Parameters138M
Contextnot in the notes
Released4 Sep 2014
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Identity
- Developer
- University of Oxford
- Family
- VGG
- Released
- 4 Sep 2014 sourcesannouncement page
- Weights published
- 25 Apr 2023
- 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
- CNN
- Total parameters
- 138M sources
- Active parameters
- –
- Checkpoint parameters
- –
- 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
- BSD 3-Clause 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.
Links
DeveloperUniversity of Oxforduniversity
University of OxforduniversityModelVGG-16University of Oxford, vision
VGG-16University of Oxford, visionUse Casesnone recorded
Who Runs Itnone recorded
Organisations 1
Sources
- arxiv.org/abs/1409.1556 https://arxiv.org/abs/1409.1556
- huggingface.co/timm/vgg16.tv_in1k https://huggingface.co/timm/vgg16.tv_in1k
- arxiv.org/html/1409.1556 https://arxiv.org/html/1409.1556
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "VGG-16", https://aurion.semai.id/models/vgg-16/, records of October 2026.