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Faster R-CNN vs. YOLOv7

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Faster R-CNN vs. YOLOv7

Both

Faster R-CNN

and

YOLOv7

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

Faster R-CNN

and

YOLOv7

.

  Faster R-CNN YOLOv7
Date of Release Jul 06, 2022
Model Type Object Detection Object Detection
Architecture YOLO, CNN
GitHub Stars 7800 7300

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

YOLOv7

YOLOv7 is a state of the art object detection model.

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 YOLOv7

Compare Faster R-CNN to other models

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

Compare YOLOv7 to other models

YOLOv8 Instance Segmentation
YOLOv8
OneFormer
MobileNet V2 Classification
MobileNet SSD v2

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