YOLO-World vs. EfficientNet

Both YOLO-World and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLO-World and EfficientNet.

Models

YOLO-World

YOLO-World is a zero-shot object detection model.

Learn more about YOLO-World

EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.

Learn more about EfficientNet

Model Type

Object Detection

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

CNN

Frameworks

Keras

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

2.9k+

License

GPL-3.0

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare YOLO-World vs. EfficientNet

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.

YOLO-World vs. EfficientNet

Models

YOLO-World

EfficientNet

Compare YOLO-World and EfficientNet with Autodistill

Compare YOLO-World vs. EfficientNet