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YOLOv4 PyTorch vs. MT-YOLOv6

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YOLOv4 PyTorch vs. MT-YOLOv6

Both

YOLOv4 PyTorch

and

MT-YOLOv6

are commonly used in computer vision projects. Below, we compare and contrast

YOLOv4 PyTorch

and

MT-YOLOv6

.

  YOLOv4 PyTorch MT-YOLOv6
Date of Release Jun 23, 2022
Model Type Object Detection Object Detection
Architecture YOLO CNN, YOLO
GitHub Stars 4200 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

MT-YOLOv6

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

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about YOLOv4 PyTorch
Learn more about MT-YOLOv6

Compare YOLOv4 PyTorch to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
ResNet 32

Compare MT-YOLOv6 to other models

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YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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