YOLOv10 vs. EfficientNet: Compared and Contrasted

Models

YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".

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

PyTorch

Keras

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7800

License

GNU Affero General Public

Paper

Training Notebook

Deploy Model

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YOLOv10 vs. EfficientNet

Both

YOLOv10

and

EfficientNet

are commonly used in computer vision projects. Below, we compare and contrast

YOLOv10

and

EfficientNet

	YOLOv10	EfficientNet
Date of Release	May 23, 2024	May 28, 2019
Model Type	Object Detection	Classification
Architecture	YOLO	CNN
GitHub Stars	7800	7200

YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

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.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

https://blog.roboflow.com/what-is-yolov10/

Learn more about EfficientNet