Depth-Anything-V2-Metric-Indoor-Large-hf

depth-anything/Depth-Anything-V2-Metric-Indoor-Large-hf

Depth Estimation335M parameterstransformers
Tracked by OpenModelStats since September 4, 2026View on Hugging Face ↗
Downloads 30D
12.1K
Total downloads
971.3K
Gained 7D
+2,181(increase)
0.2%(up) vs baseline
Gained 30D
—
Likes
18
+0 in 7D
Rank · tracked models
#7,494
13(down 13 places)this week
Parameters
335M
Last source update
Aug 27, 2024
Momentum
53.4
  • Depth-Anything-V2-Metric-Indoor-Large-hf gained 2,181 downloads during the last seven tracked days.

Downloads over time

Cumulative total downloads observed by OpenModelStats

Likes over time

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Overview

Depth-Anything-V2-Metric-Indoor-Large-hf is a depth estimation model published by depth-anything. OpenModelStats has tracked the model since Sep 4, 2026, most recently observing it Oct 4, 2026.

Published
Jul 26, 2024
Last updated
Aug 27, 2024
Library
transformers
License
—
Task
Depth Estimation
Parameters
335,315,649
Spaces
—
Derivative models
—
Velocity 7D/day
312
transformerssafetensorsdepth_anythingdepth-estimationdepthabsolute deptharxiv:2406.09414arxiv:2401.10891endpoints_compatibleregion:us

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depth-anything/Depth-Anything-V2-Metric-Indoor-Large-hf — Downloads, Growth & Stats | OpenModelStats