Formats
Tensorflow TFRecord

Tensorflow TFRecord

Tensorflow TFRecords are a binary format used with the TensorFlow Object Detection models.
Formats

Tensorflow TFRecord

Below, we show how to convert data to and from

Tensorflow TFRecord

. We also list popular models that use the

Tensorflow TFRecord

data format. Our conversion tools are free to use.

CONVERT To
CONVERT From
EXAMPLE

Convert Data to Tensorflow TFRecord

Use Roboflow to convert
Tensorflow TFRecord
to the following formats.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get a solution with:

Free data conversion

SOC II Type 2 Compliant

Trusted by 250,000+ developers

Convert Data from Tensorflow TFRecord

Use Roboflow to convert the following formats to
Tensorflow TFRecord
format.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get:

Free data conversion

SOC II Type 1 Compliant

Trusted by 250,000+ developers

Roboflow is a trusted solution for converting and managing your data. Today, over 100,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

Once your data is in Roboflow, just add the link from your dataset and you're ready to go. We even include the code to export to common inference formats like TFLite, ONNX, and CoreML.

Below are pre-configured models that use the
Tensorflow TFRecord
data format
.

What computer vision models use Tensorflow TFRecord?

The

MobileNet SSD v2

,

Faster R-CNN

,

EfficientDet (D7) Tensorflow 2

,

models all use the

Tensorflow TFRecord

data format.

To see our entire list of computer vision models, check out the Roboflow Model Library.