Models
YOLOv10 vs. Scaled-YOLOv4

YOLOv10 vs. Scaled-YOLOv4

Both YOLOv10 and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast YOLOv10 and Scaled YOLOv4.

Models

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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
Learn more about YOLOv10
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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
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
7800
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2k+
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License
GNU Affero General Public
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GPL-3.0
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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rocket icon
Deploy with Roboflow
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Compare YOLOv10 and Scaled YOLOv4 with Autodistill