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Marigold E2e Ft Depth
M
Marigold E2e Ft Depth
Developed by GonzaloMG
A monocular depth estimation model based on the Apache-2.0 license, suitable for zero-shot depth estimation tasks in wild scenes.
Downloads 1,467
Release Time : 9/13/2024
Model Overview
This model is used to estimate depth information from a single image, suitable for wild scenes, supports zero-shot learning, and can be directly applied without additional training.
Model Features
Zero-shot Learning
The model supports zero-shot learning and can be directly applied to new scenes without additional training.
Wild Scene Adaptation
The model is optimized for wild scenes and can handle complex natural environments and lighting conditions.
Single-step Processing
The model adopts single-step processing and can quickly generate depth estimation results.
Model Capabilities
Monocular Depth Estimation
Wild Scene Adaptation
Zero-shot Learning
Use Cases
Autonomous Driving
Environmental Perception
Used for environmental perception in autonomous vehicles to estimate the distance of surrounding objects.
Robot Navigation
Obstacle Avoidance
Used for obstacle avoidance systems in robots to help them identify and avoid obstacles.
Augmented Reality
Virtual-Real Fusion
Used in augmented reality applications to deeply integrate virtual objects with real-world scenes.
Transformers
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