
vision
Recognize Anything (RAM)
Image tagging model that recognises common categories, from the paper "Recognize Anything: A Strong Image Tagging Model".
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released6 Jun 2023
Opennessunknown
Runs onnot in the notes
Statusactive
Identity
- Developer
- OPPO, IDEA Research (International Digital Economy Academy)
- Family
- not in the notes
- Released
- 6 Jun 2023 sourcesannouncement page
- Weights published
- –
- 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
- – 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
- unknown
- Licence
- not in the notes sources
- Access routes
- API
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
Model
Recognize Anything (RAM)OPPO, vision
Recognize Anything (RAM)OPPO, visionUse Casesnone recorded
Who Runs Itnone recorded
Organisations 2
Sources
- arxiv.org/abs/2306.03514 https://arxiv.org/abs/2306.03514
- replicate.com/idea-research/ram-grounded-sam https://replicate.com/idea-research/ram-grounded-sam
- arxiv.org/html/2306.03514 https://arxiv.org/html/2306.03514
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Recognize Anything (RAM)", https://aurion.semai.id/models/recognize-anything/, records of October 2026.
