If your labeling tool exported annotations in the
COCOformat, but you’re trying to use a
model that needs
TFRecordannotations, 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.
To learn how to create COCO JSON yourself from scratch, see our CVAT (object detection annotation tool) 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
Tensorflow TFRecord
.
Congratulations, you have successfully converted your dataset from
COCO JSON
format to
Tensorflow TFRecord
format!
Ready to use your new
TFRecord
dataset?
If you're looking for more info, we have a more detailed blog post about creating Object Detection TFRecord files.
Here are some compatible models: