Product
Docs & Support
Pricing
Contact Sales
Sign In
Try It Now

PRODUCT

DOCS & Support

INDUSTRIES

Sign InTry It Now
Formats
Pascal VOC XML
Convert to
YOLOv5 PyTorch TXT
Pascal VOC XML
Pascal VOC is a common XML annotation format that is human readable but doesn't work with any known object detection models.
YOLOv5 PyTorch TXT
A modified version of YOLO Darknet annotations that adds a YAML file for model config.

How To Convert Pascal VOC XML to YOLOv5 PyTorch TXT

If your labeling tool exported annotations in the

VOC

format, but you’re trying to use a

YOLOv5

model that needs

YOLOv5

annotations, we’ve got you covered. You can convert those in 3 clicks with Roboflow.

Step 1: Create a Free Roboflow Account

Roboflow is the universal conversion tool for computer vision annotation formats. It's completely free for your first 1,000 images. You'll need an account to convert your dataset.

Create Your Free Roboflow Account

Step 2: Upload your data into Roboflow

Once your account has been created, click Create Dataset.

Upload your data to Roboflow by dragging and dropping your
Pascal VOC XML
images and annotations into the upload space.
Upload Data To Roboflow

To learn how to manually label your images in VOC XML format, see our CVAT tutorial.

Step 3: Generate Dataset Version

Next, you can choose Preprocessing and Augmentation options for your dataset version and then click Generate.

Step 4: Export Dataset Version

After generating, you will be prompted to Export your dataset. You can choose to receive your dataset as a .zip file or a curl download link. You can also choose which format you would like to export. Choose

YOLOv5 PyTorch TXT

.

Congratulations, you have successfully converted your dataset from

Pascal VOC XML

format to

YOLOv5 PyTorch TXT

format!

Next Steps

Ready to use your new

YOLOv5

dataset?

Now you probably want to use your new annotations with our YOLO v5 tutorial to get a model working with your own dataset.

Here are some compatible models: