YOLOv8 Instance Segmentation vs. Resnet-32

Both YOLOv8 Instance Segmentation and ResNet 32 are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 Instance Segmentation and ResNet 32.

Models

YOLOv8 Instance Segmentation

The state-of-the-art YOLOv8 model comes with support for instance segmentation tasks.

Learn more about YOLOv8 Instance Segmentation

ResNet 32

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.

Learn more about ResNet 32

Model Type

Instance Segmentation

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Frameworks

PyTorch

Fast.ai v2

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

21.1k+

32+

License

AGPL-3.0

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare YOLOv8 Instance Segmentation vs. Resnet-32

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.

YOLOv8 Instance Segmentation vs. Resnet-32

Models