Models

YOLOv7 Instance Segmentation vs. YOLOR

Both

YOLOv7 Instance Segmentation

and

YOLOR

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

YOLOv7 Instance Segmentation

and

YOLOR

.

  YOLOv7 Instance Segmentation YOLOR
Date of Release May 10, 2021
Model Type Instance Segmentation Object Detection
Architecture CNN, YOLO
GitHub Stars 12500 2000

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

YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

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

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