Instance Segmentation

Real-Time Vision

Deploy with Roboflow

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.

Overview

YOLOv7 was created by WongKinYiu and AlexeyAB, the creators of YOLOv4 Darknet (and the official canonical maintainers of the YOLO lineage according to pjreddie, the original inventor and maintainer of the YOLO architecture).

YOLOv7 Instance Segmentation supports real-time vision, giving it several use cases. The model also is flexible in terms of export formats, where it supports ONNX and TensorRT, giving it seemless integration to hardware devices.

Learn how to deploy your own YOLOv7 model.

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Benchmarks YOLOv7 for instance segmentation

On a test size of 640, YOLOv8 Instance Segmentation has the following accuracies on the stated benchmarks.
APbox: 51.4%
AP50box: 69.4%
AP75box: 55.8%
APmask: 41.5%
AP50mask: 65.5%
AP75mask: 43.7%

Performance

Use This Model

You can run fine-tuned YOLOv7 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:

YOUR_IMAGE.jpg with the path to your image.
model_id/version with the YOLOv7 model ID and version you want to use. Learn how to retrieve your model and version ID

Label Data Automatically with YOLOv7 Instance Segmentation

You can automatically label a dataset using YOLOv7 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 YOLOv7 Instance Segmentation to train a computer vision model.

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Popular YOLOv7 Instance Segmentation Use Cases

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YOLOv7 Instance Segmentation Integrations

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Explore This Model on Roboflow

How to Train Detectron2 for Custom Instance Segmentation

How to Train Detectron2 for Custom Instance Segmentation

How to train Detectron2 to segment your custom objects from any image by providing our model with example training data.

How to Train Detectron2 for Custom Instance Segmentation

How to Train Detectron2 for Custom Instance Segmentation

How to train Detectron2 to segment your custom objects from any image by providing our model with example training data.

Launch: Instance Segmentation Project Training and Inference

Launch: Instance Segmentation Project Training and Inference

Launch: Instance Segmentation Project Training and Inference

Launch: Instance Segmentation Project Training and Inference

YOLOv7 - A breakdown of how it works

YOLOv7 - A breakdown of how it works

In this post, we break down the internals of how YOLOv7 works and the novel research involved in its construction.

What is Instance Segmentation? A Guide.

What is Instance Segmentation? A Guide.

Instance segmentation allows your computer vision model to know the specific outline of an object in an image, unlocking new use cases.

What is Instance Segmentation? A Guide.

What is Instance Segmentation? A Guide.

Instance segmentation allows your computer vision model to know the specific outline of an object in an image, unlocking new use cases.

How to Create Segmentation Masks with Roboflow

How to Create Segmentation Masks with Roboflow

In this guide, you will learn how to create segmentation masks with the results of a computer vision model hosted on Roboflow.

How to Train YOLOv5 Instance Segmentation with Custom Data

How to Train YOLOv5 Instance Segmentation with Custom Data

This blog will walk through how to train YOLOv5 for instance segmentation on a custom dataset.

How to Train YOLOv5 Instance Segmentation with Custom Data

How to Train YOLOv5 Instance Segmentation with Custom Data

This blog will walk through how to train YOLOv5 for instance segmentation on a custom dataset.

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

In this article, we're going to walk through how to detect concrete cracks using instance segmentation.

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

In this article, we're going to walk through how to detect concrete cracks using instance segmentation.

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

In this article, we're going to walk through how to detect concrete cracks using instance segmentation.

Difference Between Semantic and Instance Segmentation

Difference Between Semantic and Instance Segmentation

This article explains the two types of segmentations and compares and contrasts possible distinctions between instance and semantic segmentation.

Difference Between Semantic and Instance Segmentation

Difference Between Semantic and Instance Segmentation

This article explains the two types of segmentations and compares and contrasts possible distinctions between instance and semantic segmentation.

How to Deploy YOLOv7 to Jetson Nano

How to Deploy YOLOv7 to Jetson Nano

We'll be creating a dataset, training a YOLOv7 computer vision model, and deploying it to a Jetson Nano to perform real-time object detection.

Semantic Segmentation for Labeling, Training, Deployment

Semantic Segmentation for Labeling, Training, Deployment

Roboflow now supports semantic segmentation projects end-to-end from labeling, to training, and inference.

How to Train YOLOv7 on a Custom Dataset

How to Train YOLOv7 on a Custom Dataset

Follow this tutorial to learn how you can train a Yolov7 model with custom data for you next computer vision project.