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YOLOv8 vs. MobileNet V2 Classification

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YOLOv8 vs. MobileNet V2 Classification

Both

YOLOv8

and

MobileNet V2 Classification

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

YOLOv8

and

MobileNet V2 Classification

.

  YOLOv8 MobileNet V2 Classification
Date of Release Jan 10, 2023
Model Type Object Detection Classification
Architecture YOLO, CNN
GitHub Stars 1200

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

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

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
Learn more about YOLOv8
Learn more about MobileNet V2 Classification

Compare YOLOv8 to other models

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

Compare MobileNet V2 Classification to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
YOLOv3 Keras

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