Depth-Anything-V2-Metric-Indoor-Small-hf

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

Depth Estimation24.8M parameterstransformers
Tracked by OpenModelStats since September 6, 2026View on Hugging Face ↗
Downloads 30D
54.8K
Total downloads
284.6K
Gained 7D
+6,668(increase)
2.8%(up) vs baseline
Gained 30D
—
Likes
12
+0 in 7D
Rank · tracked models
#3,632
9(up 9 places)this week
Parameters
24.8M
Last source update
Aug 27, 2024
Momentum
64.9
  • Depth-Anything-V2-Metric-Indoor-Small-hf gained 6,668 downloads during the last seven tracked days.

Downloads over time

Daily gain between consecutive observations

Likes over time

Rank among tracked models

Lower is better

Overview

Depth-Anything-V2-Metric-Indoor-Small-hf is a depth estimation model published by depth-anything. OpenModelStats has tracked the model since Sep 6, 2026, most recently observing it Oct 6, 2026.

Published
Jul 26, 2024
Last updated
Aug 27, 2024
Library
transformers
License
—
Task
Depth Estimation
Parameters
24,785,089
Spaces
—
Derivative models
—
Velocity 7D/day
953
transformerssafetensorsdepth_anythingdepth-estimationdepthabsolute deptharxiv:2406.09414arxiv:2401.10891endpoints_compatibleregion:us

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