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YOLOv7 Instance Segmentation vs. YOLOv4 PyTorch

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YOLOv7 Instance Segmentation vs. YOLOv4 PyTorch

Both

YOLOv7 Instance Segmentation

and

YOLOv4 PyTorch

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

YOLOv7 Instance Segmentation

and

YOLOv4 PyTorch

.

  YOLOv7 Instance Segmentation YOLOv4 PyTorch
Date of Release
Model Type Instance Segmentation Object Detection
Architecture YOLO
GitHub Stars 7900 4200

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.

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

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
Learn more about YOLOv7 Instance Segmentation
Learn more about YOLOv4 PyTorch

Compare YOLOv7 Instance Segmentation to other models

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YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare YOLOv4 PyTorch to other models

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