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Faster R-CNN vs. Scaled-YOLOv4

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Faster R-CNN vs. Scaled-YOLOv4

Both

Faster R-CNN

and

Scaled YOLOv4

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

Faster R-CNN

and

Scaled YOLOv4

.

  Faster R-CNN Scaled YOLOv4
Date of Release
Model Type Object Detection Object Detection
Architecture
GitHub Stars 7800 2000

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

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

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about Faster R-CNN
Learn more about Scaled YOLOv4

Compare Faster R-CNN to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare Scaled YOLOv4 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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