Formats
Segment Anything 2
Instance Segmentation
Instance SegmentationIMPORTEXPORT
FEATURED
Instance Segmentation

Segment Anything 2

SAM-2 uses a custom dataset format for use in fine-tuning models. You can convert and export data to the SAM 2 format in Roboflow.

Overview

SAM-2 uses a custom dataset format for use in fine-tuning models.

You can convert and export data to the SAM 2 format in Roboflow.

‍

Format Description

Below, learn the structure of Segment Anything 2.


{"image":{"image_id":3,"license":1,"file_name":"A2_jpg.rf.1aa89274b154e74a1f960fbb192c6bf2.jpg","height":416,"width":416,"date_captured":"2024-10-07T11:35:58+00:00"},"annotations":[{"id":3,"bbox":[92,153,193.077471,199.115617],"area":38444.7397669646,"segmentation":{"counts":"...","size":[416,416]}}]}

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 Segment Anything 2. Read our dedicated guides to learn how to merge and split Segment Anything 2 detections.

Split detections in Segment Anything 2

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Merge detections in Segment Anything 2

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Supported Models

Below, see model architectures that require data in the Segment Anything 2 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
Segment Anything 2

What is Segment Anything 2?

SAM-2 uses a custom dataset format for use in fine-tuning models.

You can convert and export data to the SAM 2 format in Roboflow.

‍

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Segment Anything 2

Below, we show how to convert data to and from

Segment Anything 2

. We also list popular models that use the

Segment Anything 2

data format. Our conversion tools are free to use.

CONVERT To
CONVERT From
EXAMPLE

Convert Data to Segment Anything 2

Use Roboflow to convert
Segment Anything 2
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

Convert Data from Segment Anything 2

Use Roboflow to convert the following formats to
Segment Anything 2
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
Segment Anything 2
Cogniac
to
Segment Anything 2
Unity Perception JSON
to
Segment Anything 2
IBM Cloud Annotations JSON
to
Segment Anything 2
SuperAnnotate JSON
to
Segment Anything 2
YOLOv8 PyTorch TXT
to
Segment Anything 2
Pascal VOC XML
to
Segment Anything 2
COCO JSON
to
Segment Anything 2
PaliGemma JSONL
to
Segment Anything 2
YOLOv10 PyTorch TXT
to
Segment Anything 2
YOLOv9 PyTorch TXT
to
Segment Anything 2
YOLOv11 PyTorch TXT
to
Segment Anything 2
COCO Run-Length Encoding (RLE)
to
Segment Anything 2
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
Segment Anything 2
data format
.

What computer vision models use Segment Anything 2?

The

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models all use the

Segment Anything 2

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.

{"image":{"image_id":3,"license":1,"file_name":"A2_jpg.rf.1aa89274b154e74a1f960fbb192c6bf2.jpg","height":416,"width":416,"date_captured":"2024-10-07T11:35:58+00:00"},"annotations":[{"id":3,"bbox":[92,153,193.077471,199.115617],"area":38444.7397669646,"segmentation":{"counts":"...","size":[416,416]}}]}
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