Models
YOLO11 vs. Scaled-YOLOv4

YOLO11 vs. Scaled-YOLOv4

Both YOLO11 and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and Scaled YOLOv4.

Models

icon-model

YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
Learn more about YOLO11
icon-model

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
Learn more about Scaled YOLOv4
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
--
YOLO
--
Frameworks
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
--
View Repo
--
View Repo
GitHub Stars
29000
--
2k+
--
License
AGPL-3.0
--
GPL-3.0
--
Paper
--
View Paper
--
View Paper
Training Notebook
Train on Colab
--
Train on Colab
--
Deploy Model
--
rocket icon
Deploy with Roboflow
--
rocket icon
Deploy with Roboflow
Compare Alternatives
--
Compare with...
--
Compare with...

Compare YOLO11 and Scaled YOLOv4 with Autodistill