DepthAnythingV2 is a lightweight depth estimation model designed to predict accurate per-pixel depth maps from a single RGB image, optimized for efficiency and versatility across scenes.

Original paper: DepthAnything V2

DepthAnythingV2-Small

This model uses the DepthAnythingV2-Small variant, which balances model size and inference speed while maintaining strong depth estimation accuracy. It is well suited for applications such as AR/VR, robotics, scene reconstruction, and real-time 3D perception on edge devices.

Model Configuration:

• Reference implementation: Official DepthAnythingV2 source code
• Original Weight:Depth-Anything-V2-Small
• Resolution: 3x224x224
• Support Cooper version:
  • Cooper SDK: [2.5.2]
  • Cooper Foundry: [2.2]

Model	Device	Model Link
DepthAnythingV2-Small	N1-655	Model_Link
DepthAnythingV2-Small	CV72	Model_Link
DepthAnythingV2-Small	CV75	Model_Link