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Faster R-CNN vs. YOLOv4 Tiny

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Faster R-CNN vs. YOLOv4 Tiny

Both

Faster R-CNN

and

YOLOv4 Tiny

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

Faster R-CNN

and

YOLOv4 Tiny

.

  Faster R-CNN YOLOv4 Tiny
Date of Release Nov 09, 2020
Model Type Object Detection Object Detection
Architecture ResNet-D, YOLO
GitHub Stars 7800

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

YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

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 YOLOv4 Tiny

Compare Faster R-CNN to other models

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

Compare YOLOv4 Tiny to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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