YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5. YOLOv8, launched on January 10, 2023, features:

A new backbone network;
A design that makes it easy to compare model performance with older models in the YOLO family;
A new loss function and;
A new anchor-free detection head.

Check out YOLOv8, defining a new state-of-the-art in computer vision

YOLOv8 is here, setting a new standard for performance in object detection and image segmentation tasks. Roboflow has developed a library of resources to help you get started with YOLOv8, covering guides on how to train YOLOv8, how the model stacks up against v5 and v7, and more.

Learn about YOLOv8

Check out YOLOv8, defining a new state-of-the-art in computer vision

Learn about YOLOv8

Check out YOLOv8, defining a new state-of-the-art in computer vision

Learn about YOLOv8

Check out YOLOv8, defining a new state-of-the-art in computer vision

Learn about YOLOv8

Model Performance

Explore this model on Roboflow

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.

Train YOLOv8 on a Custom Dataset

In this article, we walk through how to train a YOLOv8 object detection model using a custom dataset.

Launch: YOLOv8 Models on Roboflow Universe

Pre-trained YOLOv8 models are available on Roboflow Universe

What's New in YOLOv8

The field of computer vision advances with the newest release of YOLOv8, setting a new state of the art for object detection and instance segmentation.

YOLOv8 Instance Segmentation Annotation Format

YOLOv8 Instance Segmentation

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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Convert data between formats