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Verified signature--- license: apache-2.0 library_name: onnx tags: - depth-estimation - monocular-depth-estimation - vision --- # Depth Anything V2 - ONNX Models This repository contains the **ONNX export versions** of the Depth Anything V2 models. These models have been converted to ONNX format for broader compatibility and inference optimization (e.g., using ONNX Runtime). ## Model Files Description The uploaded files correspond to different model scales: - **`depth_anything_v2_vits.onnx`**: **Small** model (Fastest inference, lightweight) - **`depth_anything_v2_vitb.onnx`**: **Base** model (Balanced performance and speed) - **`depth_anything_v2_vitl.onnx`**: **Large** model (Highest accuracy) ## Attribution & Original Work This work is based on **Depth Anything V2**, originally developed by the Depth Anything Team. - **Original Repository**: [https://github.com/DepthAnything/Depth-Anything-V2](https://github.com/DepthAnything/Depth-Anything-V2) - **Paper**: [Depth Anything V2](https://arxiv.o…9731f32
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