Models
YOLOX vs. YOLOR

YOLOX vs. YOLOR

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

Models

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YOLOX

YOLOX is a high-performance 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
CNN, YOLO
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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
8.9k+
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2k+
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License
Apache-2.0
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GPL-3.0
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Training Notebook

Compare YOLOX and YOLOR with Autodistill

Compare YOLOX 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.