YOLOS vs. YOLOv7

Both YOLOS and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast YOLOS and YOLOv7.

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

YOLOv7

YOLOv7 is a state of the art object detection model.

Learn more about YOLOv7

Model Type

Object Detection

--

Object Detection

--

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformer, YOLO

--

YOLO, CNN

--

Frameworks

PyTorch

--

PyTorch

--

Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

--

--

GitHub Stars

812+

--

12.5k+

--

License

MIT

--

GPL-3.0

--

Paper

--

--

Training Notebook

--

--

Deploy Model

--

Deploy with Roboflow

--

Deploy with Roboflow

Compare YOLOS and YOLOv7 with Autodistill



YOLOS vs. YOLOv7

YOLOS vs. YOLOv7

.

Both

YOLOS

and

YOLOv7

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

YOLOS

and

YOLOv7

	YOLOS	YOLOv7
Date of Release	Jun 01, 2021	Jul 06, 2022
Model Type	Object Detection	Object Detection
Architecture	Transformer, YOLO	YOLO, CNN
GitHub Stars	812	12500

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

YOLOv7

YOLOv7 is a state of the art object detection model.

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 YOLOv7

Compare YOLOS to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare YOLOv7 to other models

YOLOv8 Instance Segmentation

MobileNet V2 Classification

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.