EfficientNet vs. YOLOv3 PyTorch: Compared and Contrasted

Models

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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

Learn more about YOLOv3 PyTorch

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN

YOLO

Frameworks

Keras

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.2k+

License

GPL-3.0

Paper

Training Notebook

Deploy Model

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EfficientNet vs. YOLOv3 PyTorch

Both

EfficientNet

and

YOLOv3 PyTorch

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

EfficientNet

and

YOLOv3 PyTorch

	EfficientNet	YOLOv3 PyTorch
Date of Release	May 28, 2019	Apr 08, 2018
Model Type	Classification	Object Detection
Architecture	CNN	YOLO
GitHub Stars	7200	7200

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 Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about EfficientNet

Learn more about YOLOv3 PyTorch