ModelsInstance Segmentation
YOLOv5 Instance Segmentation
Instance Segmentation
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YOLOv5 Instance Segmentation

YOLOv5 Instance Segmentation is a version of YOLOv5 that can be used for instance segmentation tasks.
Ultralytics
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GitHubGitHub
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star
46k+
stars
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AGPL-3.0
license
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Developed by
Ultralytics
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Released
Sep 1, 2022
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Arxiv logo markPaper

Try the Model

Use the widget below to experiment with YOLOv5 Instance Segmentation. You can detect COCO classes such as people, vehicles, animals, household items.

Overview

YOLOv5 for Instance Segmentation

YOLOv5 was released by Glenn Jocher on June 9, 2020 for object detection. Recently, YOLOv5 added support for instance segmentation (September 2022) and classification (August 2022).

Instance Segmentation results for YOLOv5

Instance Segmentation with YOLOv5

Instance segmentation (also known as image segmentation) is the computer vision task of recognizing objects in images along with their associated shape. It's useful in cases where you need to measure the size of detected objects, cut them out of their background, or more accurately detect oblong rotated objects.

YOLOv5 instance segmentation

Find a free instance segmentation dataset to try YOLOv5 for instance segmentation.

If you have your own data, label your images for free using Roboflow Annotate.

Labeling and annotation for YOLOv5 Instance segmentation

YOLOv5 benefits

YOLOv5 is regarded as smaller and generally easier to use in production thanks to being implemented in Pytorch. Read more about YOLOv5 performance.

YOLOv5 performance
YOLOv5 Size

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YOLOv5 Instance Segmentation License

YOLOv5 Instance Segmentation

is licensed under a 

AGPL-3.0

license. 

Performance

Deploy a YOLOv5 Instance Segmentation API

You can use Roboflow Inference to deploy a

YOLOv5 Instance 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.

You can run fine-tuned YOLOv5 instance segmentation models with Inference.

First, install Inference:‍


pip install inference

Retrieve your Roboflow API key and save it in an environment variable called ROBOFLOW_API_KEY:


export ROBOFLOW_API_KEY="your-api-key"

To use your model, run the following code:


import inference
model = inference.load_roboflow_model("model-name/version")
results = model.infer(image="YOUR_IMAGE.jpg")

Above, replace:

Label Data Automatically with YOLOv5 Instance Segmentation

You can automatically label a dataset using YOLOv5 Instance 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 YOLOv5 Instance Segmentation to train a computer vision model.
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YOLOv5 Instance Segmentation Alternatives

Compare YOLOv5 Instance Segmentation Model Sizes

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Use YOLOv5 Instance Segmentation to Build Computer Vision Pipelines and Applications
Images

Data

Augmentation GuideLabeling Guide
Flask

Training

Model OverviewTrain on ColabTrain on JupyterTrain on KaggleTrain on SageMakerSee Model AlternativesView Benchmarks
Screwdriver and Wrench

Utilities

Plot PredictionsFilter PredictionsBlur PredictionsCreate A Confusion MatrixUse SAHI for Small Object Detection
Code Compare

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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.
Convert Data Between Formats

Architecture

CNN, YOLO

Frameworks

PyTorch

Annotation Format

Popular YOLOv5 Instance Segmentation Use Cases

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YOLOv5 Instance Segmentation Integrations

YOLOv5 Instance Segmentation to Active Learning Data Collector

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to Active Learning Data Collector.

YOLOv5 Instance Segmentation to CSV Sink

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to CSV Sink.

YOLOv5 Instance Segmentation to Super Annotator

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to Super Annotator.

YOLOv5 Instance Segmentation to Azure Sink

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to Azure Sink.

YOLOv5 Instance Segmentation to Webhook Publish

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to Webhook Publish.

YOLOv5 Instance Segmentation to SMS

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to SMS.

YOLOv5 Instance Segmentation to MQTT Publisher

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to MQTT Publisher.

Roboflow Keypoint Detection Model to YOLOv5 Instance Segmentation

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YOLO-NAS to YOLOv5 Instance Segmentation

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YOLOv8 to YOLOv5 Instance Segmentation

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YOLOv5 Instance Segmentation to Roboflow Object Detection Model

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to Roboflow Object Detection Model.

YOLOv8 Classification to YOLOv5 Instance Segmentation

Build a computer vision workflow that connects YOLOv8 Classification to YOLOv5 Instance Segmentation.

YOLOv5 to YOLOv5 Instance Segmentation

Build a computer vision workflow that connects YOLOv5 to YOLOv5 Instance Segmentation.

Roboflow Classification Model to YOLOv5 Instance Segmentation

Build a computer vision workflow that connects Roboflow Classification Model to YOLOv5 Instance Segmentation.

YOLOv5 Instance Segmentation to Roboflow Classification Model

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to Roboflow Classification Model.

YOLOv8 Keypoint Detection to YOLOv5 Instance Segmentation

Build a computer vision workflow that connects YOLOv8 Keypoint Detection to YOLOv5 Instance Segmentation.

YOLOv5 Instance Segmentation to YOLO-NAS

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to YOLO-NAS.

YOLOv5 Instance Segmentation to YOLOv8 Instance Segmentation

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to YOLOv8 Instance Segmentation.

YOLOv5 Instance Segmentation to YOLOv8 Classification

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to YOLOv8 Classification.

YOLOv5 Instance Segmentation to YOLOv5

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to YOLOv5.

Roboflow Object Detection Model to YOLOv5 Instance Segmentation

Build a computer vision workflow that connects Roboflow Object Detection Model to YOLOv5 Instance Segmentation.

YOLOv9 to YOLOv5 Instance Segmentation

Build a computer vision workflow that connects YOLOv9 to YOLOv5 Instance Segmentation.

YOLOv5 Instance Segmentation to YOLOv8

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to YOLOv8.

Roboflow Instance Segmentation Model to YOLOv5 Instance Segmentation

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YOLOv5 Instance Segmentation to YOLOv7 Instance Segmentation

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YOLOv5 Instance Segmentation to Roboflow Keypoint Detection Model

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YOLOv5 Instance Segmentation to YOLOv8 Keypoint Detection

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to YOLOv8 Keypoint Detection.

Explore This Model on Roboflow

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