Models
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.

Models

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GPT-4o

GPT-4o is OpenAI’s third major iteration of GPT-4 expanding on the capabilities of GPT-4 with Vision
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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
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 Stars
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21.1k+
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License
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AGPL-3.0
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Training Notebook

Compare GPT-4o and YOLOv8 with Autodistill

Compare GPT-4o vs. YOLOv8

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.