Models
YOLOR vs. YOLOv7

YOLOR vs. YOLOv7

Both YOLOR and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast YOLOR and YOLOv7.

Models

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YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.
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YOLOv7

YOLOv7 is a state of the art object detection model.
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, CNN
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2k+
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13.0k+
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License
GPL-3.0
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GPL-3.0
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Training Notebook

Compare YOLOR and YOLOv7 with Autodistill

Compare YOLOR vs. YOLOv7

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.