vision
Depth Anything V2 Large
Large Depth Anything V2 model, released for non-commercial use.

Levelvariant
Classvision
Parameters335.3M
Contextnot in the notes
Released13 Jun 2024
Opennessopen weights restricted
Runs onnot in the notes
Statusactive
Lineage
successor
Depth Anything 3 is a child (successor)high confidencenotes
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
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
- 335.3M 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 restricted
- Licence
- Creative Commons Attribution-NonCommercial 4.0 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.
Industry Use Cases
No industry use case links this model.
Links
Model
Depth Anything V2 LargeThe University of Hong Kong, vision
Depth Anything V2 LargeThe University of Hong Kong, visionR&D TopicsMonocular and Stereo Depth Estimation
Use Casesnone recorded
Who Runs Itnone recorded
Models 2
Organisations 2
Sources
- arxiv.org/abs/2406.09414 https://arxiv.org/abs/2406.09414
- huggingface.co/depth-anything/Depth-Anything-V2-Large https://huggingface.co/depth-anything/Depth-Anything-V2-Large
- 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 Large", https://aurion.semai.id/models/depth-anything-v2-large/, records of October 2026.