Depth Estimation on Camera Images using DenseNets

Doing cool things with data!

Introduction

The human brain possesses the remarkable ability to infer depth when viewing a two-dimensional scene, even with a single-point measurement, as in viewing a photograph. However, accurate depth mapping from a single image remains a challenge in computer vision. Depth information
from a scene is valuable for many tasks like augmented reality, robotics, self driving cars etc. In this blog we explore how to train a depth estimation model on NYU Depth Data…