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MobileNet V2 Classification vs. YOLOv5

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MobileNet V2 Classification vs. YOLOv5

Both

MobileNet V2 Classification

and

YOLOv5

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

MobileNet V2 Classification

and

YOLOv5

.

  MobileNet V2 Classification YOLOv5
Date of Release Jan 06, 2020
Model Type Classification Object Detection
Architecture CNN, YOLO
GitHub Stars 33200

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about MobileNet V2 Classification
Learn more about YOLOv5

Compare MobileNet V2 Classification to other models

YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny

Compare YOLOv5 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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