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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 found 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:
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.
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