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MobileNet V2 Classification vs. YOLOv7

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MobileNet V2 Classification vs. YOLOv7

Both

MobileNet V2 Classification

and

YOLOv7

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

MobileNet V2 Classification

and

YOLOv7

.

  MobileNet V2 Classification YOLOv7
Date of Release Jul 06, 2022
Model Type Classification Object Detection
Architecture YOLO, CNN
GitHub Stars 7300

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

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 V2 Classification
Learn more about YOLOv7

Compare MobileNet V2 Classification 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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