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.
Learn more about MT-YOLOv6
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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.
Learn more about YOLOv4 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

Models

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
  MT-YOLOv6 YOLOv4 PyTorch
Date of Release Jun 23, 2022
Model Type Object Detection Object Detection
Architecture CNN, YOLO YOLO
GitHub Stars 5500 4400

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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