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Depth Anything Base Hf

Developed by Xenova
A depth estimation model based on Transformers.js, adapted for ONNX weights version, used to predict depth information from images.
Downloads 53
Release Time : 1/24/2024

Model Overview

This model is a depth estimation model capable of predicting depth maps from input images, suitable for various applications requiring scene depth information.

Model Features

Adapted for Transformers.js
The model has been converted to ONNX format and can be directly used for inference in web environments with the Transformers.js library.
Lightweight
The model is the base version, suitable for deployment in resource-constrained environments.
Efficient depth estimation
Capable of quickly and accurately predicting depth information from images.

Model Capabilities

Image depth estimation
Depth map generation

Use Cases

Computer vision
Scene reconstruction
Used for 3D scene reconstruction, generating depth information from a single image.
Produces high-precision depth maps to assist in 3D modeling.
Augmented reality
Provides scene depth information in AR applications for more realistic virtual object overlays.
Enhances immersion and realism in AR applications.
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