Models
Scaled-YOLOv4 vs. MT-YOLOv6

Scaled-YOLOv4 vs. MT-YOLOv6

Both Scaled YOLOv4 and MT-YOLOv6 are commonly used in computer vision projects. Below, we compare and contrast Scaled YOLOv4 and MT-YOLOv6.

Models

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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
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MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
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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CNN, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2k+
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5.5k+
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License
GPL-3.0
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GPL-3.0
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Training Notebook

Compare Scaled YOLOv4 and MT-YOLOv6 with Autodistill

Compare Scaled-YOLOv4 vs. MT-YOLOv6

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.