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Faster R-CNN vs. YOLOX

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Faster R-CNN vs. YOLOX

Both

Faster R-CNN

and

YOLOX

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

Faster R-CNN

and

YOLOX

.

  Faster R-CNN YOLOX
Date of Release Jul 18, 2021
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 7800 7600

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

YOLOX

YOLOX is a high-performance 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 YOLOX

Compare Faster R-CNN to other models

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

Compare YOLOX to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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