Models
MT-YOLOv6 vs. Scaled-YOLOv4

MT-YOLOv6 vs. Scaled-YOLOv4

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

Models

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MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, 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 Stars
5.5k+
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2k+
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License
GPL-3.0
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GPL-3.0
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Training Notebook

Compare MT-YOLOv6 and Scaled YOLOv4 with Autodistill

Compare MT-YOLOv6 vs. Scaled-YOLOv4

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.