Is it free to convert RetinaNet Keras CSV to YOLOv5 Oriented Bounding Boxes?
Yes! It is free to convert RetinaNet Keras CSV data into the YOLOv5 Oriented Bounding Boxes format on the Roboflow platform.
Convert annotation formats
How To Convert RetinaNet Keras CSV to YOLOv5 Oriented Bounding Boxes
In this guide, we show you how to convert data between the RetinaNet Keras and YOLOv5 OBB formats for free. You can use your converted data to train YOLOv5 Oriented Bounding Boxes models and other models that support the YOLOv5 OBB format.
RetinaNet Keras CSVtoYOLOv5 Oriented Bounding Boxes
RetinaNet Keras CSV
A custom format used by the Keras implementation of RetinaNet.
YOLOv5 Oriented Bounding Boxes
A modified version of YOLO Darknet annotations that allows for rotated bounding boxes.
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 YOLOv5 Oriented Bounding Boxes 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 YOLOv5 Oriented Bounding Boxes 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 YOLOv5 Oriented Bounding Boxes 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
- OpenAI GPT-4o Object Detection JSONL
- PaliGemma JSONL
- Pascal VOC XML
- Sagemaker GroundTruth Manifest
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- Tensorflow TFRecord
- YOLO Darknet TXT
- YOLO Keras TXT
- YOLOv10 PyTorch TXT
- YOLOv11 PyTorch TXT
- YOLOv4 PyTorch TXT
- YOLOv5 PyTorch TXT
- YOLOv7 PyTorch TXT
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- YOLOv8 PyTorch TXT
- YOLOv9 PyTorch TXT
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