Models
YOLOv8 vs. MobileNet V2 Classification

YOLOv8 vs. MobileNet V2 Classification

Both YOLOv8 and MobileNet V2 Classification are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and MobileNet V2 Classification.

Models

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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
Learn more about YOLOv8
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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
21.1k+
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License
AGPL-3.0
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Training Notebook

Compare YOLOv8 and MobileNet V2 Classification with Autodistill

Models

YOLOv8 vs. MobileNet V2 Classification

.

Both

YOLOv8

and

MobileNet V2 Classification

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

YOLOv8

and

MobileNet V2 Classification
  YOLOv8 MobileNet V2 Classification
Date of Release Jan 10, 2023
Model Type Object Detection Classification
Architecture YOLO, CNN
GitHub Stars 21100

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

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

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