Models
Resnet-32 vs. YOLOv4 PyTorch

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.

Models

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ResNet 32

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.
Learn more about ResNet 32
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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.
Learn more about YOLOv4 PyTorch
Model Type
Classification
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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YOLO
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Frameworks
Fast.ai v2
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
32+
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4.4k+
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License
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Apache-2.0
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Training Notebook

Compare ResNet 32 and YOLOv4 PyTorch with Autodistill

Models

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 35 4400

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

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