Models
YOLOv8 vs. EfficientNet

YOLOv8 vs. EfficientNet

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

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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EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.
Learn more about EfficientNet
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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CNN
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Frameworks
PyTorch
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Keras
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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 EfficientNet with Autodistill

Models

YOLOv8 vs. EfficientNet

.

Both

YOLOv8

and

EfficientNet

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

YOLOv8

and

EfficientNet
  YOLOv8 EfficientNet
Date of Release Jan 10, 2023 May 28, 2019
Model Type Object Detection Classification
Architecture YOLO, CNN CNN
GitHub Stars 21100 7200

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

EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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