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YOLOX vs. MobileNet SSD v2

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YOLOX vs. MobileNet SSD v2

Both

YOLOX

and

MobileNet SSD v2

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

YOLOX

and

MobileNet SSD v2

.

  YOLOX MobileNet SSD v2
Date of Release Jul 18, 2021 Jan 13, 2018
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 7600 1900

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

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about YOLOX
Learn more about MobileNet SSD v2

Compare YOLOX to other models

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

Compare MobileNet SSD v2 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
YOLOv3 Keras

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