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YOLOv4 Tiny vs. Faster R-CNN

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YOLOv4 Tiny vs. Faster R-CNN

Both

YOLOv4 Tiny

and

Faster R-CNN

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

YOLOv4 Tiny

and

Faster R-CNN

.

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

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

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 YOLOv4 Tiny
Learn more about Faster R-CNN

Compare YOLOv4 Tiny to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
ResNet 32

Compare Faster R-CNN to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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