Models
GPT-4o vs. YOLOv5

GPT-4o vs. YOLOv5

Both GPT-4o and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast GPT-4o and YOLOv5.

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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YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
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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CNN, YOLO
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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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46k+
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License
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AGPL-3.0
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Training Notebook

Compare GPT-4o and YOLOv5 with Autodistill

Compare GPT-4o vs. YOLOv5

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.