Formats
OpenAI GPT-4o Object Detection JSONL
Object Detection
Multimodal ModelIMPORTEXPORT
FEATURED
Object Detection

OpenAI GPT-4o Object Detection JSONL

The format required by OpenAI for fine-tuning GPT-4o for object detection.

Overview

The format required by OpenAI for fine-tuning GPT-4o for object detection.

Format Description

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;

Split and Merge Datasets

With Roboflow supervision, an open source Python package with utilities for completing computer vision tasks, you can merge and split detections in OpenAI GPT-4o Object Detection JSONL. Read our dedicated guides to learn how to merge and split OpenAI GPT-4o Object Detection JSONL detections.

Split detections in OpenAI GPT-4o Object Detection JSONL

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Merge detections in OpenAI GPT-4o Object Detection JSONL

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Supported Models

Below, see model architectures that require data in the OpenAI GPT-4o Object Detection JSONL format when training a new model.

On each page below, you can find links to our guides that show how to plot predictions from the model, and complete other common tasks like detecting small objects with the model.

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Formats
OpenAI GPT-4o Object Detection JSONL

What is OpenAI GPT-4o Object Detection JSONL?

The format required by OpenAI for fine-tuning GPT-4o for object detection.

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OpenAI GPT-4o Object Detection JSONL

Below, we show how to convert data to and from

OpenAI GPT-4o Object Detection JSONL

. We also list popular models that use the

OpenAI GPT-4o Object Detection JSONL

data format. Our conversion tools are free to use.

CONVERT To
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EXAMPLE

Convert Data to OpenAI GPT-4o Object Detection JSONL

Use Roboflow to convert
OpenAI GPT-4o Object Detection JSONL
to the following formats.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get a solution with:
‍

Free data conversion

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Trusted by 250,000+ developers

OpenAI GPT-4o Object Detection JSONL
 to 
COCO Run-Length Encoding (RLE)

Convert Data from OpenAI GPT-4o Object Detection JSONL

Use Roboflow to convert the following formats to
OpenAI GPT-4o Object Detection JSONL
format.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get:
‍

Free data conversion

SOC II Type 1 Compliant

Trusted by 250,000+ developers

YOLOv8 PyTorch TXT
to
OpenAI GPT-4o Object Detection JSONL
Cogniac
to
OpenAI GPT-4o Object Detection JSONL
LabelBox Video JSON
to
OpenAI GPT-4o Object Detection JSONL
Unity Perception JSON
to
OpenAI GPT-4o Object Detection JSONL
IBM Cloud Annotations JSON
to
OpenAI GPT-4o Object Detection JSONL
SuperAnnotate JSON
to
OpenAI GPT-4o Object Detection JSONL
LabelMe JSON
to
OpenAI GPT-4o Object Detection JSONL
Multiclass Classification CSV
to
OpenAI GPT-4o Object Detection JSONL
Google Cloud AutoML Vision CSV
to
OpenAI GPT-4o Object Detection JSONL
Kaggle Wheat CSV
to
OpenAI GPT-4o Object Detection JSONL
OIDv4 TXT
to
OpenAI GPT-4o Object Detection JSONL
Tensorflow Object Detection CSV
to
OpenAI GPT-4o Object Detection JSONL
RetinaNet Keras CSV
to
OpenAI GPT-4o Object Detection JSONL
Sagemaker GroundTruth Manifest
to
OpenAI GPT-4o Object Detection JSONL
Udacity TXT
to
OpenAI GPT-4o Object Detection JSONL
VoTT CSV
to
OpenAI GPT-4o Object Detection JSONL
VoTT JSON
to
OpenAI GPT-4o Object Detection JSONL
OpenImages CSV
to
OpenAI GPT-4o Object Detection JSONL
YOLO Darknet TXT
to
OpenAI GPT-4o Object Detection JSONL
YOLO Keras TXT
to
OpenAI GPT-4o Object Detection JSONL
Marmot XML
to
OpenAI GPT-4o Object Detection JSONL
Pascal VOC XML
to
OpenAI GPT-4o Object Detection JSONL
Supervisely JSON
to
OpenAI GPT-4o Object Detection JSONL
LabelBox JSON
to
OpenAI GPT-4o Object Detection JSONL
CreateML JSON
to
OpenAI GPT-4o Object Detection JSONL
Scale AI JSON
to
OpenAI GPT-4o Object Detection JSONL
COCO JSON
to
OpenAI GPT-4o Object Detection JSONL
YOLOv10 PyTorch TXT
to
OpenAI GPT-4o Object Detection JSONL
YOLOv11 PyTorch TXT
to
OpenAI GPT-4o Object Detection JSONL
PaliGemma JSONL
to
OpenAI GPT-4o Object Detection JSONL
Roboflow is a trusted solution for converting and managing your data. Today, over 100,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

Once your data is in Roboflow, just add the link from your dataset and you're ready to go. We even include the code to export to common inference formats like TFLite, ONNX, and CoreML.

Below are pre-configured models that use the
OpenAI GPT-4o Object Detection JSONL
data format
.

What computer vision models use OpenAI GPT-4o Object Detection JSONL?

The

No items found.

models all use the

OpenAI GPT-4o Object Detection JSONL

data format.

We don't currently have models that use this annotation format.
To see our entire list of computer vision models, check out the Roboflow Model Library.

{
  "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;
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