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YOLOv4 PyTorch vs. YOLOv5

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YOLOv4 PyTorch vs. YOLOv5

Both

YOLOv4 PyTorch

and

YOLOv5

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

YOLOv4 PyTorch

and

YOLOv5

.

  YOLOv4 PyTorch YOLOv5
Date of Release Jan 06, 2020
Model Type Object Detection Object Detection
Architecture YOLO CNN, YOLO
GitHub Stars 4200 33200

YOLOv4 PyTorch

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 PyTorch.

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
Learn more about YOLOv4 PyTorch
Learn more about YOLOv5

Compare YOLOv4 PyTorch to other models

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

Compare YOLOv5 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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