Is it free to convert RetinaNet Keras CSV to YOLOv8 Oriented Bounding Boxes?
Yes! It is free to convert RetinaNet Keras CSV data into the YOLOv8 Oriented Bounding Boxes format on the Roboflow platform.
Convert annotation formats
How To Convert RetinaNet Keras CSV to YOLOv8 Oriented Bounding Boxes
In this guide, we show you how to convert data between the RetinaNet Keras and YOLOV8-OBB formats for free. You can use your converted data to train models and other models that support the YOLOV8-OBB format.
RetinaNet Keras CSVtoYOLOv8 Oriented Bounding Boxes
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,helmetYOLOv8 Oriented Bounding Boxes
Used to train a YOLOv8-OBB model.
Below, learn the structure of YOLOv8 Oriented Bounding Boxes.
001.txt
class_index, x1, y1, x2, y2, x3, y3, x4, y4Step 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 YOLOv8 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 YOLOv8 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 YOLOv8 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
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- Sagemaker GroundTruth Manifest
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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 PyTorch TXT
- YOLOv9 PyTorch TXT
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