Depth Anything V2 Base
Depth-Anything-V2-Base is an ONNX-format depth estimation model adapted for Transformers.js, designed for image depth estimation on the web.
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Release Time : 6/14/2024
Model Overview
This model is primarily used for image depth estimation tasks, capable of predicting depth information from a single image, suitable for various computer vision applications.
Model Features
Web Adaptation
The model has been converted to ONNX format and adapted for Transformers.js, enabling direct use on the web.
Lightweight
The model is optimized for efficient operation in web environments.
Easy Integration
Can be quickly integrated into front-end projects using the pipeline API provided by Transformers.js.
Model Capabilities
Image Depth Estimation
Single Image Processing
Web-based Inference
Use Cases
Computer Vision
3D Scene Reconstruction
Utilize depth estimation results for 3D scene reconstruction.
Generates depth maps for subsequent 3D modeling.
Augmented Reality
Estimate scene depth in AR applications for more realistic virtual object overlays.
Provides accurate depth information to enhance AR experiences.
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