Models
MT-YOLOv6 vs. YOLOv4 PyTorch

MT-YOLOv6 vs. YOLOv4 PyTorch

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

Models

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MT-YOLOv6

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

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 PyTorch.
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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4.4k+
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License
GPL-3.0
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Apache-2.0
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Training Notebook

Compare MT-YOLOv6 and YOLOv4 PyTorch with Autodistill