If your labeling tool exported annotations in the
VOCformat, but you’re trying to use a
model that needs
YOLOv5annotations, we’ve got you covered. You can convert those in 3 clicks with Roboflow.
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.
Once your account has been created, click Create Dataset.
To learn how to manually label your images in VOC XML format, see our CVAT tutorial.
Next, you can choose Preprocessing and Augmentation options for your dataset version and then click Generate.
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!
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:
