YOLOS vs. EfficientNet: Compared and Contrasted

Models

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

Learn more about YOLOS

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

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformer, YOLO

CNN

Frameworks

PyTorch

Keras

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

812+

License

MIT

Paper

Training Notebook

Deploy Model



YOLOS vs. EfficientNet

Both

YOLOS

and

EfficientNet

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

YOLOS

and

EfficientNet

	YOLOS	EfficientNet
Date of Release	Jun 01, 2021	May 28, 2019
Model Type	Object Detection	Classification
Architecture	Transformer, YOLO	CNN
GitHub Stars	812	7200

YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.

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

Learn more about YOLOS

Learn more about EfficientNet