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YOLOv8 Instance Segmentation vs. MobileNet V2 Classification

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YOLOv8 Instance Segmentation vs. MobileNet V2 Classification

Both

YOLOv8 Instance Segmentation

and

MobileNet V2 Classification

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

YOLOv8 Instance Segmentation

and

MobileNet V2 Classification

.

  YOLOv8 Instance Segmentation MobileNet V2 Classification
Date of Release Jan 10, 2023
Model Type Instance Segmentation Classification
Architecture
GitHub Stars 1200

YOLOv8 Instance Segmentation

The state-of-the-art YOLOv8 model comes with support for instance segmentation tasks.

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 MobileNet V2 Classification

Compare YOLOv8 Instance Segmentation 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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