Is it free to convert OpenImages CSV to RetinaNet Keras CSV?
Yes! It is free to convert OpenImages CSV data into the RetinaNet Keras CSV format on the Roboflow platform.
Convert annotation formats
How To Convert OpenImages CSV to RetinaNet Keras CSV
In this guide, we show you how to convert data between the OpenImage and RetinaNet Keras formats for free. You can use your converted data to train models and other models that support the RetinaNet Keras format.
OpenImages CSVtoRetinaNet Keras CSV
OpenImages CSV
A variation on the YOLO Darknet format which removes the need for a labelmap.
Below, learn the structure of OpenImages CSV.
OpenImages.csv
ImageID,Source,LabelName,Confidence,XMin,XMax,YMin,YMax,IsOccluded,IsTruncated,IsGroupOf,IsDepiction,IsInside
000026e7ee790996,xclick,/m/07j7r,1,0.071875,0.1453125,0.20625,0.39166668,0,1,1,0,0
000026e7ee790996,xclick,/m/07j7r,1,0.4390625,0.571875,0.26458332,0.43541667,0,1,1,0,0
000026e7ee790996,xclick,/m/07j7r,1,0.66875,1,0,0.5520833,0,1,1,0,0
000062a39995e348,xclick,/m/015p6,1,0.20620842,0.849224,0.15463917,1,0,0,0,0,0
000062a39995e348,xclick,/m/05s2s,1,0.13747229,0.37694013,0,0.88365245,1,1,0,0,0
0000c64e1253d68f,xclick,/m/0k4j,1,0,0.5132743,0.32079646,0.6902655,0,1,0,0,0
0000c64e1253d68f,xclick,/m/0k4j,1,0.016224189,0.26843658,0.29867256,0.46238938,1,0,0,0,0
0000c64e1253d68f,xclick,/m/0k4j,1,0.48082596,0.9041298,0.23230088,0.48893806,1,0,0,0,0
0000c64e1253d68f,xclick,/m/0k4j,1,0.7522124,1,0.3318584,0.65707964,0,1,0,0,0RetinaNet 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,helmetStep 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 OpenImages 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 RetinaNet Keras 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 OpenImages CSV format to RetinaNet Keras 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 OpenImages CSV data into the RetinaNet Keras 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 OpenImages 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
- Scaled-YOLOv4 TXT
- Tensorflow Object Detection CSV
- Tensorflow TFRecord
- YOLO Darknet TXT
- YOLO Keras TXT
- YOLOv10 PyTorch TXT
- YOLOv11 PyTorch TXT
- YOLOv4 PyTorch TXT
- YOLOv5 Oriented Bounding Boxes
- YOLOv5 PyTorch TXT
- YOLOv7 PyTorch TXT
- YOLOv8 Oriented Bounding Boxes
- YOLOv8 PyTorch TXT
- YOLOv9 PyTorch TXT
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