Models
GPT-4o vs. YOLOv7

GPT-4o vs. YOLOv7

Both GPT-4o and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast GPT-4o and YOLOv7.

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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YOLOv7

YOLOv7 is a state of the art object detection model.
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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13.0k+
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License
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GPL-3.0
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Training Notebook

Compare GPT-4o and YOLOv7 with Autodistill

Compare GPT-4o vs. YOLOv7

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.