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Resnet-32 vs. YOLOv4 PyTorch

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Resnet-32 vs. YOLOv4 PyTorch

Both

ResNet 32

and

YOLOv4 PyTorch

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

ResNet 32

and

YOLOv4 PyTorch

.

  ResNet 32 YOLOv4 PyTorch
Date of Release
Model Type Classification Object Detection
Architecture YOLO
GitHub Stars 2 4200

ResNet 32

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

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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
Learn more about ResNet 32
Learn more about YOLOv4 PyTorch

Compare ResNet 32 to other models

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YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare YOLOv4 PyTorch to other models

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