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YOLOv7 vs. MobileNet V2 Classification

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YOLOv7 vs. MobileNet V2 Classification

Both

YOLOv7

and

MobileNet V2 Classification

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

YOLOv7

and

MobileNet V2 Classification

.

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

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

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
Learn more about MobileNet V2 Classification

Compare YOLOv7 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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