Models
YOLOv4 vs. YOLOv5

YOLOv4 vs. YOLOv5

Both YOLOv4 Darknet and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast YOLOv4 Darknet and YOLOv5.

Models

icon-model

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.
Learn more about YOLOv4 Darknet
icon-model

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
Learn more about YOLOv5
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
--
CNN, YOLO
--
Frameworks
Darknet
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
--
46k+
--
License
YOLO
--
AGPL-3.0
--
Training Notebook

Compare YOLOv4 Darknet and YOLOv5 with Autodistill

Models

YOLOv4 vs. YOLOv5

.

Both

YOLOv4 Darknet

and

YOLOv5

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

YOLOv4 Darknet

and

YOLOv5
  YOLOv4 Darknet YOLOv5
Date of Release Jan 06, 2020
Model Type Object Detection Object Detection
Architecture YOLO CNN, YOLO
GitHub Stars 33200

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

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

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

Deploy a computer vision model today

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

Get started