Formats
PaliGemma JSONL
Object Detection
Instance Segmentation
Multimodal ModelIMPORTEXPORT
FEATURED
Object Detection
Instance Segmentation

PaliGemma JSONL

PaliGemma is a multimodal model developed by Google. PaliGemma uses a JSONL data format.

Overview

PaliGemma is a multimodal model developed by Google. You can export image datasets in the PaliGemma format for use in fine-tuning models. PaliGemma uses data formatted in a JSONL structure.

Format Description

Below, learn the structure of PaliGemma JSONL.


{"prefix": "detect fracture", "suffix": " fracture", "image": "rot_0_7471_png_jpg.rf.30ec1d3771a6b126e7d5f14ad0b3073b.jpg"}{"prefix": "detect fracture", "suffix": " fracture", "image": "flip_0_5824_png_jpg.rf.abe91e2cd085f0d47e35ef7021ff8549.jpg"}
{"prefix": "detect fracture", "suffix": " fracture", "image": "all_0_8542_png_jpg.rf.6bcad49d206468d7720d727caca95724.jpg"}{"prefix": "detect fracture", "suffix": " fracture", "image": "bri_0_592_png_jpg.rf.8d8630701ed43bb703fdad74c8765b26.jpg"}
{"prefix": "detect fracture", "suffix": " fracture ;  fracture ;  fracture", "image": "all_0_2435_png_jpg.rf.e602a2f82935f4fdba988b280ab11b7e.jpg"}

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 PaliGemma JSONL. Read our dedicated guides to learn how to merge and split PaliGemma JSONL detections.

Split detections in PaliGemma JSONL

No items found.

Merge detections in PaliGemma JSONL

No items found.

Supported Models

Below, see model architectures that require data in the PaliGemma 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.

PaliGemma-2

PaliGemma-2 is a multimodal model developed by Google.
Multimodal Model
Deploy with Roboflow
•
•
stars
•
Gemma License
license
•
Released
Dec 5, 2024

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Formats
PaliGemma JSONL

What is PaliGemma JSONL?

PaliGemma is a multimodal model developed by Google. You can export image datasets in the PaliGemma format for use in fine-tuning models. PaliGemma uses data formatted in a JSONL structure.

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PaliGemma JSONL

Below, we show how to convert data to and from

PaliGemma JSONL

. We also list popular models that use the

PaliGemma JSONL

data format. Our conversion tools are free to use.

CONVERT To
CONVERT From
EXAMPLE

Convert Data to PaliGemma JSONL

Use Roboflow to convert
PaliGemma 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

SOC II Type 2 Compliant

Trusted by 250,000+ developers

PaliGemma JSONL
 to 
YOLOv10 PyTorch TXT
PaliGemma JSONL
 to 
YOLOv9 PyTorch TXT
PaliGemma JSONL
 to 
Florence-2
PaliGemma JSONL
 to 
YOLOv11 PyTorch TXT
PaliGemma JSONL
 to 
OpenAI GPT-4o Object Detection JSONL
PaliGemma JSONL
 to 
COCO Run-Length Encoding (RLE)
PaliGemma JSONL
 to 
Segment Anything 2

Convert Data from PaliGemma JSONL

Use Roboflow to convert the following formats to
PaliGemma 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
PaliGemma JSONL
YOLOv8 PyTorch TXT
to
PaliGemma JSONL
Cogniac
to
PaliGemma JSONL
Unity Perception JSON
to
PaliGemma JSONL
IBM Cloud Annotations JSON
to
PaliGemma JSONL
LabelBox Video JSON
to
PaliGemma JSONL
LabelMe JSON
to
PaliGemma JSONL
SuperAnnotate JSON
to
PaliGemma JSONL
Multiclass Classification CSV
to
PaliGemma JSONL
Google Cloud AutoML Vision CSV
to
PaliGemma JSONL
Kaggle Wheat CSV
to
PaliGemma JSONL
OIDv4 TXT
to
PaliGemma JSONL
RetinaNet Keras CSV
to
PaliGemma JSONL
Tensorflow Object Detection CSV
to
PaliGemma JSONL
Sagemaker GroundTruth Manifest
to
PaliGemma JSONL
Udacity TXT
to
PaliGemma JSONL
VoTT CSV
to
PaliGemma JSONL
VoTT JSON
to
PaliGemma JSONL
YOLO Darknet TXT
to
PaliGemma JSONL
OpenImages CSV
to
PaliGemma JSONL
YOLO Keras TXT
to
PaliGemma JSONL
Pascal VOC XML
to
PaliGemma JSONL
Marmot XML
to
PaliGemma JSONL
Supervisely JSON
to
PaliGemma JSONL
LabelBox JSON
to
PaliGemma JSONL
Scale AI JSON
to
PaliGemma JSONL
CreateML JSON
to
PaliGemma JSONL
COCO JSON
to
PaliGemma 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
PaliGemma JSONL
data format
.

What computer vision models use PaliGemma JSONL?

The

PaliGemma-2

,

models all use the

PaliGemma JSONL

data format.

PaliGemma-2

PaliGemma-2 is a multimodal model developed by Google.

To see our entire list of computer vision models, check out the Roboflow Model Library.

{"prefix": "detect fracture", "suffix": " fracture", "image": "rot_0_7471_png_jpg.rf.30ec1d3771a6b126e7d5f14ad0b3073b.jpg"}{"prefix": "detect fracture", "suffix": " fracture", "image": "flip_0_5824_png_jpg.rf.abe91e2cd085f0d47e35ef7021ff8549.jpg"}
{"prefix": "detect fracture", "suffix": " fracture", "image": "all_0_8542_png_jpg.rf.6bcad49d206468d7720d727caca95724.jpg"}{"prefix": "detect fracture", "suffix": " fracture", "image": "bri_0_592_png_jpg.rf.8d8630701ed43bb703fdad74c8765b26.jpg"}
{"prefix": "detect fracture", "suffix": " fracture ;  fracture ;  fracture", "image": "all_0_2435_png_jpg.rf.e602a2f82935f4fdba988b280ab11b7e.jpg"}
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