GPT-4o vs. YOLOv4: Compared and Contrasted

Models

GPT-4o

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

YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

Learn more about YOLOv4 Darknet

Model Type

Multimodal Model

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Frameworks

Darknet

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

License

YOLO

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare GPT-4o vs. YOLOv4

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.

GPT-4o vs. YOLOv4

Models

GPT-4o

YOLOv4 Darknet

Compare GPT-4o and YOLOv4 Darknet with Autodistill

Compare GPT-4o vs. YOLOv4