Models
EfficientNet vs. YOLOv4 PyTorch

EfficientNet vs. YOLOv4 PyTorch

Both EfficientNet and YOLOv4 PyTorch are commonly used in computer vision projects. Below, we compare and contrast EfficientNet and YOLOv4 PyTorch.

Models

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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
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YOLOv4 PyTorch

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.
Learn more about YOLOv4 PyTorch
Model Type
Classification
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN
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YOLO
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Frameworks
Keras
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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4.4k+
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License
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Apache-2.0
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Training Notebook

Compare EfficientNet and YOLOv4 PyTorch with Autodistill

Models

EfficientNet vs. YOLOv4 PyTorch

.

Both

EfficientNet

and

YOLOv4 PyTorch

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

EfficientNet

and

YOLOv4 PyTorch
  EfficientNet YOLOv4 PyTorch
Date of Release May 28, 2019
Model Type Classification Object Detection
Architecture CNN YOLO
GitHub Stars 7200 4400

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

YOLOv4 PyTorch

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.

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

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