If your labeling tool exported annotations in the
Supervise.lyformat, 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. 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 workspace on the Public plan.
Once your account has been created, click Create Dataset.
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
Supervisely JSON
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: