How To Convert RetinaNet Keras CSV to Tensorflow TFRecord

If your labeling tool exported annotations in the

RetinaNet Keras

format, but you’re trying to use a

model that needs


annotations, we’ve got you covered. You can convert data between these formats for free in 3 clicks with Roboflow.

Step 1: Create a free Roboflow public workspace

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.

Step 2: Upload your data into Roboflow

Once your account has been created, click Create Dataset.

Upload your data to Roboflow by dragging and dropping your
RetinaNet Keras CSV
images and annotations into the upload space.

Step 3: Generate Dataset Version

Next, you can choose Preprocessing and Augmentation options for your dataset version and then click Generate.

Step 4: Export Dataset Version

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

RetinaNet Keras CSV

format to

Tensorflow TFRecord


Next Steps

Ready to use your new



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:

Frequently Asked Questions

Is it free to convert
RetinaNet Keras CSV
Tensorflow TFRecord

Yes! It is free to convert

RetinaNet Keras CSV

data into the

Tensorflow TFRecord

format on the Roboflow platform.

How long does it take to convert
RetinaNet Keras CSV
data to
Tensorflow TFRecord

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.

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