EfficientNet vs. YOLOS: 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

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

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN

Transformer, YOLO

Frameworks

Keras

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

812+

License

MIT

Paper

Training Notebook

Deploy Model

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EfficientNet vs. YOLOS

Both

EfficientNet

and

YOLOS

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

EfficientNet

and

YOLOS

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

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.

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