Models
GPT-4o vs. YOLOv4 Tiny

GPT-4o vs. YOLOv4 Tiny

Both GPT-4o and YOLOv4 Tiny are commonly used in computer vision projects. Below, we compare and contrast GPT-4o and YOLOv4 Tiny.

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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YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset
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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ResNet-D, YOLO
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Frameworks
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Darknet
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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License
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YOLO
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Training Notebook

Compare GPT-4o and YOLOv4 Tiny with Autodistill

Compare GPT-4o vs. YOLOv4 Tiny

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.