If your labeling tool exported annotations in theUdacity
format, but you’re trying to use a
model that needsCOCO
annotations, we’ve got you covered. You can convert data between these formats for free 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 free 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
Congratulations, you have successfully converted your dataset from
Ready to use your new
To learn how to create COCO JSON yourself from scratch, see our CVAT (object detection annotation tool) tutorial.
Here are some compatible models:
YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
EfficientDet achieves the best performance in the fewest training epochs among object detection model architectures, making it a highly scalable architecture especially when operating with limited compute.
Yes! It is free to convert
data into the
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.