Models
YOLOv7 vs. YOLOR

YOLOv7 vs. YOLOR

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

Models

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YOLOv7

YOLOv7 is a state of the art object detection model.
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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.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO, CNN
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CNN, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
13.0k+
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2k+
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License
GPL-3.0
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GPL-3.0
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Training Notebook

Compare YOLOv7 and YOLOR with Autodistill

Compare YOLOv7 vs. YOLOR

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.