Is it free to convert RetinaNet Keras CSV to Tensorflow Object Detection CSV?
Yes! It is free to convert RetinaNet Keras CSV data into the Tensorflow Object Detection CSV format on the Roboflow platform.
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.
RetinaNet Keras CSVtoTensorflow Object Detection CSV
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,helmetTensorflow 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,375,152,410,219Step 1: Create a free Roboflow public workspace
Roboflow is a 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 New Project.
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, click "Generate New Version" to generate a new version of your dataset:
You can then apply any preprocessing or augmentation steps to your dataset:
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:
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.
Convert RetinaNet Keras CSV to other formats
- COCO JSON
- COCO Run-Length Encoding (RLE)
- CreateML JSON
- Florence-2
- Google Cloud AutoML Vision CSV
- meituan/yolov6
- Multiclass Classification CSV
- OpenAI CLIP Classification
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- PaliGemma JSONL
- Pascal VOC XML
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- YOLO Darknet TXT
- YOLO Keras TXT
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- YOLOv5 Oriented Bounding Boxes
- YOLOv5 PyTorch TXT
- YOLOv7 PyTorch TXT
- YOLOv8 Oriented Bounding Boxes
- YOLOv8 PyTorch TXT
- YOLOv9 PyTorch TXT
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