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Convert Open Images Dataset v6 to PASCAL VOC format.

Project description

OIDv6 To VOC

Convert bounding box datasets of Open Images Dataset v6 to VOC XML format.

Installation

pip3 install oidv6-to-voc

Usage

Once installed, you should be able to run it directly:

oidv6-to-voc -h

If your shell cannot find the command, try running it with:

python3 -m oidv6_to_voc -h

CLI options

To start converting, you need at least a part of the images, the class names metadata and at least one of the boxes annotation CSV file:

CSV files you need

oidv6-to-voc <annotation-file(s).csv>
             -d <class-names-file.csv> 
             --imgd <directory/to/your/images>
             --outd <your/output/diretory>

About the Dataset

The Open Images V6 Dataset contains 600 classes with 1900000+ images. The images are hosted on AWS, and the CSV files can be downloaded here.

To download it in full, you'll need 500+ GB of disk space. For downloading a part of the dataset only, I would recommend the DmitryRyumin/OIDv6 tool.

Credit

This repo is forked from AtriSaxena/OIDv4_to_VOC.

Project details


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