Convert annotation formats

How To Convert RetinaNet Keras CSV to Tensorflow Object Detection CSV

In this guide, we show you how to convert data between the RetinaNet Keras and Tensorflow CSV formats for free. You can use your converted data to train models and other models that support the Tensorflow CSV format.

Convert with an AI agent

Paste this prompt into your coding agent

Claude Code, Cursor, Codex or any agent with the Roboflow MCP uploads your RetinaNet Keras CSV dataset to Roboflow, generates a version and downloads it as Tensorflow Object Detection CSV.

No Roboflow MCP yet? The prompt has your agent set it up first, or connect your agent before you paste it.

Rather convert it by hand? Follow the steps below

RetinaNet Keras CSV

A custom format used by the Keras implementation of RetinaNet.

Below, learn the structure of RetinaNet Keras CSV.

retinanet.keras.csv
0001.jpg,2694,1211,353,353,helmet
0001.jpg,1754,1449,68,68,person
0002.jpg,113,95,226,226,helmet
0003.jpg,352,114,151,151,helmet
0003.jpg,799,217,139,139,person
0004.jpg,162,126,124,124,helmet

Tensorflow Object Detection CSV

The intermediate human-readable format prior to creating a TFRecord.

Below, learn the structure of Tensorflow Object Detection CSV.

tensorflow.csv
filename,width,height,class,xmin,ymin,xmax,ymax
000001.jpg,500,375,helmet,111,144,134,174
000001.jpg,500,375,helmet,178,84,230,143
000007.jpg,500,466,helmet,115,139,180,230
000007.jpg,500,466,helmet,174,156,201,219
000007.jpg,500,466,helmet,197,177,231,227
000007.jpg,500,466,helmet,247,124,294,203
000007.jpg,500,466,helmet,280,127,337,208
000007.jpg,500,466,helmet,336,148,387,223
000007.jpg,500,466,helmet,375,152,410,219

Step 1: Create a free Roboflow account

Roboflow is a universal conversion tool for computer vision annotation formats. To convert your dataset, start by creating a free Roboflow account.

Create free Roboflow account

Step 2: Upload your data into Roboflow

Once your account has been created, click Create New Project. (opens in a new tab)

Roboflow's create project form, with Object Detection selected as the project type

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

Roboflow's upload page, with a drag-and-drop area for images, annotations, videos and PDFs

Step 3: Generate Dataset Version

Next, click "Generate New Version" to generate a new version of your dataset:

Roboflow's Generate a Dataset Version page, showing the source images and train/test split for a new version

You can then apply any preprocessing or augmentation steps to your dataset:

The augmentation step of a new dataset version, with 90° Rotate and Brightness added

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. Choose Tensorflow Object Detection CSV when asked in what format you want to export your data. You will see a dropdown with various options like this:

Roboflow's Download dialog, with the export format list open and COCO highlighted

Congratulations, you have successfully converted your dataset from RetinaNet Keras CSV format to Tensorflow Object Detection CSV format!

Video Tutorial

Convert Computer Vision Annotation Formats Tutorial

Want to dive deeper into converting annotation formats with Roboflow? In the tutorial below, we explore how to convert your data in the Roboflow dashboard. We also discuss rejecting annotations and train-test-validation splits.

Frequently Asked Questions

Yes! It is free to convert RetinaNet Keras CSV data into the Tensorflow Object Detection CSV 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.

Show guide

Convert RetinaNet Keras CSV to other formats

Convert other formats to Tensorflow Object Detection CSV

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