Models

YOLOv8 vs. YOLOv4 PyTorch

Both

YOLOv8

and

YOLOv4 PyTorch

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

YOLOv8

and

YOLOv4 PyTorch

.

YOLOv8

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

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.

  YOLOv8 YOLOv4 PyTorch
Date of Release Jan 10, 2023
Community Status Active
Model Type Object Detection Object Detection
Architecture YOLO, CNN YOLO
FPS
Framework Used PyTorch PyTorch
Learn more about YOLOv8Learn more about YOLOv4 PyTorch

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