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YOLOv5 vs. Faster R-CNN

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YOLOv5 vs. Faster R-CNN

Both

YOLOv5

and

Faster R-CNN

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

YOLOv5

and

Faster R-CNN

.

  YOLOv5 Faster R-CNN
Date of Release Jan 06, 2020
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 33200 7800

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

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

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
Learn more about YOLOv5
Learn more about Faster R-CNN

Compare YOLOv5 to other models

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

Compare Faster R-CNN to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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