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YOLOv7 Instance Segmentation vs. MobileNet V2 Classification

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YOLOv7 Instance Segmentation vs. MobileNet V2 Classification

Both

YOLOv7 Instance Segmentation

and

MobileNet V2 Classification

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

YOLOv7 Instance Segmentation

and

MobileNet V2 Classification

.

  YOLOv7 Instance Segmentation MobileNet V2 Classification
Date of Release
Model Type Instance Segmentation Classification
Architecture
GitHub Stars 7900

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.

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 YOLOv7 Instance Segmentation
Learn more about MobileNet V2 Classification

Compare YOLOv7 Instance Segmentation to other models

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

Compare MobileNet V2 Classification to other models

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YOLOv7 Instance Segmentation
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YOLOv3 Keras

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