Models
YOLOv5 vs. YOLOX

YOLOv5 vs. YOLOX

Both YOLOv5 and YOLOX are commonly used in computer vision projects. Below, we compare and contrast YOLOv5 and YOLOX.

Models

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YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
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YOLOX

YOLOX is a high-performance 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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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
46k+
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8.9k+
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License
AGPL-3.0
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Apache-2.0
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Training Notebook

Compare YOLOv5 and YOLOX with Autodistill

Compare YOLOv5 vs. YOLOX

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.