“Depth Anything” Is A Mind-Blowing Tech Understands Depth Of Images And Videos
Depth estimation is a fundamental task in computer vision that has many applications, such as robotics, autonomous driving, and augmented reality. Traditional methods for depth estimation rely on stereo cameras or LiDAR sensors, which can be expensive and bulky.
In recent years, there has been growing interest in monocular depth estimation, which uses only a single RGB camera to estimate depth.
What is Depth Anything?
Depth Anything is a new foundation model for monocular depth estimation that was recently introduced by Lihe Zhang et al. Depth Anything is a convolutional neural network (CNN) that is trained on a combination of labeled and unlabeled data.
- Labeled data consists of images and their corresponding depth maps.
- Unlabeled data consists of images without depth maps.
Depth Anything uses a self-supervised learning approach to train on unlabeled data. Self-supervised learning is a type of machine learning where the model learns from the data itself, without the need for human-labeled data. In the…
