YOLOv7 Instance Segmentation vs. YOLOv4

Both YOLOv7 Instance Segmentation and YOLOv4 Darknet are commonly used in computer vision projects. Below, we compare and contrast YOLOv7 Instance Segmentation and YOLOv4 Darknet.

Models

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.

Learn more about YOLOv7 Instance Segmentation

YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

Learn more about YOLOv4 Darknet

Model Type

Instance Segmentation

--

Object Detection

--

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

--

YOLO

--

Frameworks

PyTorch

--

Darknet

--

Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

--

--

GitHub Stars

12.5k+

--

--

License

GPL-3.0

--

YOLO

--

Paper

--

--

Training Notebook

--

--

Deploy Model

--

Deploy with Roboflow

--

Deploy with Roboflow

Compare YOLOv7 Instance Segmentation and YOLOv4 Darknet with Autodistill



YOLOv7 Instance Segmentation vs. YOLOv4

YOLOv7 Instance Segmentation vs. YOLOv4

.

Both

YOLOv7 Instance Segmentation

and

YOLOv4 Darknet

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

YOLOv7 Instance Segmentation

and

YOLOv4 Darknet

	YOLOv7 Instance Segmentation	YOLOv4 Darknet
Date of Release
Model Type	Instance Segmentation	Object Detection
Architecture	YOLO	YOLO
GitHub Stars	12500

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.

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

YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

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

Learn more about YOLOv7 Instance Segmentation

Learn more about YOLOv4 Darknet

Compare YOLOv7 Instance Segmentation to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare YOLOv4 Darknet to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

Deploy a computer vision model today

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