Models
YOLOv10 vs. EfficientNet

YOLOv10 vs. EfficientNet

Both YOLOv10 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLOv10 and EfficientNet.

Models

icon-model

YOLOv10

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

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
Instance Segmentation
GitHub
--
View Repo
--
View Repo
GitHub Stars
7800
--
--
License
GNU Affero General Public
--
--
Paper
--
View Paper
--
View Paper
Training Notebook
Train on Colab
--
Train on Colab
--
Deploy Model
--
rocket icon
Deploy with Roboflow
--
rocket icon
Deploy with Roboflow
Compare Alternatives
--
Compare with...
--
Compare with...

Compare YOLOv10 and EfficientNet with Autodistill