EfficientNet vs. YOLOv4 Tiny: 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

YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

Learn more about YOLOv4 Tiny

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN

ResNet-D, YOLO

Frameworks

Keras

Darknet

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

License

YOLO

Paper

Training Notebook

Deploy Model

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EfficientNet vs. YOLOv4 Tiny

Both

EfficientNet

and

YOLOv4 Tiny

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

EfficientNet

and

YOLOv4 Tiny

	EfficientNet	YOLOv4 Tiny
Date of Release	May 28, 2019	Nov 09, 2020
Model Type	Classification	Object Detection
Architecture	CNN	ResNet-D, YOLO
GitHub Stars	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