ModelsReferring Expression Segmentation
Florence 2 Image Segmentation
Referring Expression Segmentation
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Florence 2 Image Segmentation

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Overview

Florence 2 Image Segmentation License

Florence 2 Image Segmentation

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Performance

Deploy a Florence 2 Image Segmentation API

You can use Roboflow Inference to deploy a

Florence 2 Image Segmentation

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

Label Data Automatically with Florence 2 Image Segmentation

You can automatically label a dataset using Florence 2 Image Segmentation with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use Florence 2 Image Segmentation to train a computer vision model.
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Use Florence 2 Image Segmentation to Build Computer Vision Pipelines and Applications
Images

Data

Augmentation GuideLabeling Guide
Flask

Training

Model OverviewTrain on ColabTrain on JupyterTrain on KaggleTrain on SageMaker
Screwdriver and Wrench

Utilities

Plot PredictionsFilter PredictionsBlur PredictionsCreate A Confusion MatrixUse SAHI for Small Object Detection
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Convert Annotation Format

YOLOv8 uses the uses the YOLOv8 PyTorch TXT annotation format. If your annotation is in a different format, you can use Roboflow's annotation conversion tools to get your data into the right format.
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Annotation Format

Popular Florence 2 Image Segmentation Use Cases

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