GPT-4o vs. YOLOv8

Both GPT-4o and YOLOv8 are commonly used in computer vision projects. Below, we compare and contrast GPT-4o and YOLOv8.

Models

GPT-4o

GPT-4o is OpenAI’s third major iteration of GPT-4 expanding on the capabilities of GPT-4 with Vision

Learn more about GPT-4o

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

Learn more about YOLOv8

Model Type

Multimodal Model

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Object Detection

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Model Features

Item 1 Info

Item 2 Info

Architecture

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YOLO, CNN

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Frameworks

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PyTorch

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Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

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GitHub Stars

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21.1k+

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License

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AGPL-3.0

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Paper

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Training Notebook

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Deploy Model

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Deploy with Roboflow

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Deploy with Roboflow

Compare Alternatives

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Compare GPT-4o and YOLOv8 with Autodistill

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GPT-4o vs. YOLOv8

GPT-4o vs. YOLOv8

.

Both

GPT-4o

and

YOLOv8

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

GPT-4o

and

YOLOv8

	GPT-4o	YOLOv8
Date of Release	May 13, 2024	Jan 10, 2023
Model Type	Multimodal Model	Object Detection
Architecture		YOLO, CNN
GitHub Stars		21100

GPT-4o

GPT-4o is OpenAI’s third major iteration of GPT-4 expanding on the capabilities of GPT-4 with Vision

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

https://blog.roboflow.com/gpt-4o-vision-use-cases/

https://roboflow.com/integration/yolov8

Compare GPT-4o to other models

Compare YOLOv8 to other models

YOLOv9 Image Segmentation

Florence 2 Image Segmentation

Florence 2 Object Detection

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