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

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

YOLOv4 vs. YOLOX

Both

YOLOv4 Darknet

and

YOLOX

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

YOLOv4 Darknet

and

YOLOX

.

  YOLOv4 Darknet YOLOX
Date of Release Jul 18, 2021
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 20100 7600

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

YOLOX

YOLOX is a high-performance object detection model.

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

Compare YOLOv4 Darknet to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
ResNet 32

Compare YOLOX 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