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YOLOv4 Tiny vs. Resnet-32

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YOLOv4 Tiny vs. Resnet-32

Both

YOLOv4 Tiny

and

ResNet 32

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

YOLOv4 Tiny

and

ResNet 32

.

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

ResNet 32

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.

  YOLOv4 Tiny ResNet 32
Date of Release Nov 09, 2020
Community Status
Model Type Object Detection Classification
Architecture ResNet-D, YOLO
FPS 34
Framework Used Darknet Fast.ai v2
Learn more about YOLOv4 TinyLearn more about ResNet 32

Compare YOLOv4 Tiny to other models

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

Compare ResNet 32 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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