Is it free to convert Tensorflow Object Detection CSV to OpenAI GPT-4o Object Detection JSONL?
Yes! It is free to convert Tensorflow Object Detection CSV data into the OpenAI GPT-4o Object Detection JSONL format on the Roboflow platform.
Convert annotation formats
In this guide, we show you how to convert data between the Tensorflow CSV and OpenAI Object Detection JSONL formats for free. You can use your converted data to train models and other models that support the OpenAI Object Detection JSONL format.
Yes! It is free to convert Tensorflow Object Detection CSV data into the OpenAI GPT-4o Object Detection JSONL format on the Roboflow platform.
The intermediate human-readable format prior to creating a TFRecord.
Below, learn the structure of Tensorflow Object Detection 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,375,152,410,219The format required by OpenAI for fine-tuning GPT-4o for object detection.
Below, learn the structure of OpenAI GPT-4o Object Detection JSONL.
{
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "detect "},
{
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {
"url": "URL"
}
}
]
},
{
"role": "assistant",
"content": " object ; object" } ] } The loc tags correspond with the locations of objects in images. Individual annotations are separate by semi-colons, following the structure:
loc-tags class-name; loc-tags class-name;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.
Once your account has been created, click Create New Project.

Upload your data to Roboflow by dragging and dropping your Tensorflow Object Detection CSV images and annotations into the upload space.

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:

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 OpenAI GPT-4o Object Detection JSONL 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 Tensorflow Object Detection CSV format to OpenAI GPT-4o Object Detection JSONL format!
Yes! It is free to convert Tensorflow Object Detection CSV data into the OpenAI GPT-4o Object Detection JSONL 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.
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