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MobileNet SSD v2 vs. YOLOv7

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MobileNet SSD v2 vs. YOLOv7

Both

MobileNet SSD v2

and

YOLOv7

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

MobileNet SSD v2

and

YOLOv7

.

  MobileNet SSD v2 YOLOv7
Date of Release Jan 13, 2018 Jul 06, 2022
Model Type Object Detection Object Detection
Architecture YOLO, CNN
GitHub Stars 1900 7300

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

YOLOv7

YOLOv7 is a state of the art object detection model.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about MobileNet SSD v2
Learn more about YOLOv7

Compare MobileNet SSD v2 to other models

YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny

Compare YOLOv7 to other models

YOLOv8 Instance Segmentation
YOLOv8
OneFormer
MobileNet V2 Classification
MobileNet SSD v2

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