Models

YOLOv3 PyTorch vs. YOLOv4 Tiny

Both

YOLOv3 PyTorch

and

YOLOv4 Tiny

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

YOLOv3 PyTorch

and

YOLOv4 Tiny

.

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

  YOLOv3 PyTorch YOLOv4 Tiny
Date of Release Apr 08, 2018 Nov 09, 2020
Community Status
Model Type Object Detection Object Detection
Architecture YOLO ResNet-D, YOLO
FPS 34
Framework Used PyTorch Darknet
Learn more about YOLOv3 PyTorchLearn more about YOLOv4 Tiny

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