vision
Depth Anything V2 Small
Smallest Depth Anything V2 model, released under Apache 2.0.
Levelvariant
Classvision
Parameters24.8M
Contextnot in the notes
Released13 Jun 2024
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Identity
- Developer
- The University of Hong Kong, ByteDance
- Family
- Depth Anything
- Released
- 13 Jun 2024 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
- 24.8M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- image
- Output
- image
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.
Links
ModelDepth Anything V2 SmallThe University of Hong Kong, vision
Depth Anything V2 SmallThe University of Hong Kong, visionR&D TopicsMonocular and Stereo Depth Estimation
Use Casesnone recorded
Who Runs Itnone recorded
Organisations 2
Sources
- arxiv.org/abs/2406.09414 https://arxiv.org/abs/2406.09414
- huggingface.co/depth-anything/Depth-Anything-V2-Small https://huggingface.co/depth-anything/Depth-Anything-V2-Small
- arxiv.org/html/2406.09414 https://arxiv.org/html/2406.09414
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Depth Anything V2 Small", https://aurion.semai.id/models/depth-anything-v2-small/, records of October 2026.