Explore and run machine learning code with Kaggle Notebooks | Using data from NYU Depth V2.

Toward Practical Monocular Indoor Depth Estimation CVPR 2022 · Data Instruction Switch to Project Introduction · Data Download · Data Explorer · Zero-Shot cross ...

The Megadepth dataset [17] was intro- duced as one of the largest datasets for the monocular depth estimation problem with a total of 130K images among which ...

Jul 12, 2021 · Our main task is to create a depth map from an RGB image similar to one that is produced in the Stereo cameras.

Mar 16, 2024 · Existing monocular depth estimation driving datasets are limited in the number of images and the diversity of driving conditions.

Nov 9, 2020 · In this survey, we first introduce the datasets for depth estimation, and then give a comprehensive introduction of the methods from three perspectives.

This article presents a new underwater dataset: NEREON, containing both 2D and 3D data gathered within real underwater environments at the ATLANTIS Coastal Test ...

The success of monocular depth estimation relies on large and diverse training sets. Due to the challenges associated with acquiring dense ground-truth ...

Table A1 summarizes the monocular depth estimation methods in terms of parameter counts, depth accuracy measured using RMSE metric, memory requirement and ...

The dataset captures variations in illumination, lighting, colors, textures, shapes, object sizes, and view perspectives. The RGB images are saved in .png ...