Models

YOLOv4 Tiny vs. YOLOv3 PyTorch

Both

YOLOv4 Tiny

and

YOLOv3 PyTorch

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

YOLOv4 Tiny

and

YOLOv3 PyTorch

.

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

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

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