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Scripts for downloading popular depth estimation datasets, including KITTI, DIODE, SUNRGBD, and soon NYUv2 and Make3D. This tool helps automate the download and organization of RGB images and corresponding depth maps, crucial for deep learning and computer vision research

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Chaouki-AI/LIDAR-DATABOX

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LIDARDataBox : Depth Estimation Dataset Downloader

This repository contains scripts for downloading depth estimation datasets, including KITTI, DIODE, SUNRGBD, and soon to include others like NYUv2. The tool is designed to efficiently download RGB images and their corresponding depth maps, which are essential for depth estimation research and projects.

Project Overview

This script was developed by Mohammed Chaouki ZIARA as part of his Ph.D. research at the RCAM Laboratory, Djilali Liabes University - Algeria.

The tool is specifically designed for use in depth estimation tasks, accelerating dataset acquisition for training and testing models in this field.

Datasets Currently Supported:

Future Additions:

Requirements

Before running the script, ensure the following dependencies are installed:

  • GNU Parallel: Recommended for faster dataset processing, particularly for the KITTI dataset cleanup. Install by following the instructions Here
  • Unzip : Required to extract dataset files
    sudo apt-get install unzip
    

Usage

  1. Clone this repository:
git clone https://github.com/chaouki-ai/LIDAR-DATABOX
cd LIDAR-DATABOX
chmod +x ./LIDARDataBox.sh
  1. Start downloading the datasets: in order to download Kitti, Diode and SunRGBD datasets :
./LIDARDataBox.sh 
  1. Optional : if you would like to download only one or multiple dataset you can use the following arguments : diode , kitti or SunRGBD.

    for example to download, kitti and diode datasets :
./LIDARDataBox.sh kitti diode

Keywords

 Depth Estimation
 KITTI Dataset
 SUNRGBD Dataset
 DIODE Dataset
 NYUv2 Dataset
 RGB Images
 Depth Maps
 LIDAR Data

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Scripts for downloading popular depth estimation datasets, including KITTI, DIODE, SUNRGBD, and soon NYUv2 and Make3D. This tool helps automate the download and organization of RGB images and corresponding depth maps, crucial for deep learning and computer vision research

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