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.
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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.
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