Models
YOLOX vs. Scaled-YOLOv4

YOLOX vs. Scaled-YOLOv4

Both YOLOX and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast YOLOX and Scaled YOLOv4.

Models

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YOLOX

YOLOX is a high-performance object detection model.
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Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.
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
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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 Scaled YOLOv4 with Autodistill

Compare YOLOX vs. Scaled-YOLOv4

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.