Models
GPT-4o vs. YOLOv10

GPT-4o vs. YOLOv10

Both GPT-4o and YOLOv10 are commonly used in computer vision projects. Below, we compare and contrast GPT-4o and YOLOv10.

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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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
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
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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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7800
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License
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GNU Affero General Public
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Training Notebook

Compare GPT-4o and YOLOv10 with Autodistill

Compare GPT-4o vs. YOLOv10

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.