Models
YOLOv7 vs. MobileNet V2 Classification

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.

Models

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YOLOv7

YOLOv7 is a state of the art object detection model.
Learn more about YOLOv7
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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.
Learn more about MobileNet V2 Classification
Model Type
Object Detection
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO, CNN
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Frameworks
PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
12.5k+
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License
GPL-3.0
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Training Notebook

Compare YOLOv7 and MobileNet V2 Classification with Autodistill

Models

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 12500

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

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