Product
Solutions
Resources
Pricing
Docs
Talk to SalesSign in
Models
YOLOv8 vs. YOLOv4

Explore Models

By Task
All Models (32)Object Detection Models (19)Classification Models (7)Instance Segmentation Models (3)Semantic Segmentation Models (1)
By Feature
Foundation Vision ModelsMultimodal Vision ModelsImage Embedding ModelsReal Time Vision ModelsZero-Shot Detection ModelsOptimal for Edge Deployment

YOLOv8 vs. YOLOv4

Both

YOLOv8

and

YOLOv4 Darknet

are commonly used in computer vision projects. Below, we compare and contrast

YOLOv8

and

YOLOv4 Darknet

.

  YOLOv8 YOLOv4 Darknet
Date of Release Jan 10, 2023
Model Type Object Detection Object Detection
Architecture YOLO, CNN
GitHub Stars 1200 20100

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about YOLOv8
Learn more about YOLOv4 Darknet

Compare YOLOv8 to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare YOLOv4 Darknet to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.

Get started