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YOLOS vs. Faster R-CNN

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YOLOS vs. Faster R-CNN

Both

YOLOS

and

Faster R-CNN

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

YOLOS

and

Faster R-CNN

.

  YOLOS Faster R-CNN
Date of Release Jun 01, 2021
Model Type Object Detection Object Detection
Architecture Transformer, YOLO
GitHub Stars 648 7800

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

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 YOLOS
Learn more about Faster R-CNN

Compare YOLOS 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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