In this guide, we show you how to convert data between the
Multiclass Classificationand
YOLOv5formats for free. You can use your converted data to train
models and other models that support the
YOLOv5 format.
Roboflow is a universal conversion tool for computer vision annotation formats. The Public plan is the best way for those exploring personal projects, class assignments, and other experiments to try Roboflow. To convert your dataset, start by creating a free workspace on the Public plan.
Once your account has been created, click Create New Project.
Upload your data to Roboflow by dragging and dropping your Multiclass Classification CSV images and annotations into the upload space.
Next, click "Generate New Version" to generate a new version of your dataset:
You can then apply any preprocessing or augmentation steps to your dataset:
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. Choose YOLOv5 PyTorch TXT when asked in what format you want to export your data. You will see a dropdown with various options like this:
Congratulations, you have successfully converted your dataset from Multiclass Classification CSV format to YOLOv5 PyTorch TXT format!
Ready to use your new YOLOv5 dataset? Great!
Now you probably want to use your new annotations with our YOLO v5 tutorial to get a model working with your own dataset.
Yes! It is free to convert Multiclass Classification CSV data into the YOLOv5 PyTorch TXT format on the Roboflow platform.
If you have between a few and a few thousand images, converting data between these formats will be quick. But, the time it takes to convert between data formats increases with the more images you have.