jpeg or XML anything depending on your extension of images) JPG so I used *.jpg to call them you can use. Here file was named by me as 'filename' here you can anything of your wish like 'names.txt', it will be stored in the directory where you used the command prompt (here I wanted only images stored with extension. The command to get a list of folders and files in your directory:-ls /b/sĬommand to get file names and save to a text file:- ls /b/s/w*.jpg > filename.txt The command to get a list of folders and files in your directory:- ls -LRĬommand to get file names and save to a text file:- ls -LR *.jpg > files.txtįor Mac OSX: macOS is POSIX compliant, so it contains the usual command line utilities found in Unix environments. Now I will list out commands for windows users:Ĭommand to get a list of folders and files in your directory:- dir /b/sĬommand to get file names and save to a text file:- dir /b/s/w *.jpg > 'filename.txt' Open terminal/Command Prompt in the current directory, i.e., in the folder dataset and run commands that I will be giving. I have downloaded car number plates from a few parts of the world and stored them folders. Make a new folder (I named it as a dataset), make a few folders in it and fill those folders with images. For 32-Bit For 64-Bit Now download a few images

Now let's install 'Notepad++', visit this link- and install the version that works well on your device. This allows individuals who do not run the same database applications to share database files between one another.įor this tutorial we have few requirements: 1->Microsoft Excelģ->Notepad++(I suggest it as it is easy to use, you can try with WordPad, notepad or any text editor) csv extension are similar to plain text files. These database fields have been exported into a format that contains a single line where a comma separates each database record. In machine learning, Deep Learning, Datascience most used data files are in json or CSV, here we will learn about CSV and use it to make a dataset.

Notepad++ json convert to csv