D

Depth

Developed by scenario-labs
Depth Anything V2 is currently the most powerful monocular depth estimation model, trained on 595,000 synthetically annotated images and over 62 million real unlabeled images, offering finer details and stronger robustness.
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Release Time : 7/4/2024

Model Overview

Depth Anything V2 is a monocular depth estimation model capable of predicting depth information from a single image, suitable for fields like computer vision and augmented reality.

Model Features

Fine-grained Depth Prediction
Presents finer details than the V1 version and predicts depth information more accurately.
Strong Robustness
More robust than the V1 version and SD-based models (e.g., Marigold, Geowizard), suitable for various complex scenarios.
Efficient and Lightweight
More efficient (10x faster) and lighter than SD-based models, ideal for real-time applications.
Large-scale Training Data
Trained on 595,000 synthetically annotated images and over 62 million real unlabeled images, offering strong generalization capabilities.

Model Capabilities

Monocular Depth Estimation
Zero-shot Depth Prediction
Image Depth Analysis

Use Cases

Computer Vision
Augmented Reality
Used for scene depth estimation in augmented reality applications to enhance virtual-real fusion effects.
Autonomous Driving
Used for environmental perception and obstacle detection in autonomous driving systems.
Robotics
Navigation and Obstacle Avoidance
Used for robot navigation and obstacle avoidance by providing environmental depth information.
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