Products
Platform
Universe
Open source computer vision datasets and pre-trained models
Annotate
Label images fast with AI-assisted data annotation
Train
Hosted model training infrastructure and GPU access
Workflows
Low-code interface to build pipelines and applications
Deploy
Run models on device, at the edge, in your VPC, or via API
Solutions
By Industry
Aerospace & Defence
Agriculture
Automotive
Banking & Finance
Government
Healthcare & Medicine
Manufacturing
Oil & Gas
Retail & Ecommerce
Safety & Security
Telecommunications
Transportation
Utilities
Developers
Resources
Documentation
User Forum
Computer Vision Models
Blog
Convert Annotation Formats
Learn Computer Vision
Inference Templates
Weekly Product Webinar
Pricing
Docs
Blog
Sign In
Get Started
Models
YOLO11 vs. EfficientNet
YOLO11 vs. EfficientNet
Both YOLO11 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and EfficientNet.
YOLO11
EfficientNet
Models
YOLO11
YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
Learn more about YOLO11
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
--
CNN
--
Frameworks
--
Keras
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
--
View Repo
--
View Repo
GitHub Stars
29000
--
--
License
AGPL-3.0
--
--
Paper
--
View Paper
--
View Paper
Training Notebook
Train on Colab
--
Train on Colab
--
Deploy Model
--
Deploy with Roboflow
--
Deploy with Roboflow
Compare Alternatives
--
Compare with...
YOLOv10
PaliGemma
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny
ResNet 32
Scaled YOLOv4
YOLOR
YOLOS
YOLOX
Faster R-CNN
Detectron2
EfficientNet
Mask RCNN
SegFormer
YOLOv8
MT-YOLOv6
YOLOv7
YOLOv5
PaliGemma
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny
ResNet 32
Scaled YOLOv4
YOLOR
YOLOS
YOLOX
Faster R-CNN
Detectron2
EfficientNet
Mask RCNN
SegFormer
YOLOv8
MT-YOLOv6
YOLOv7
YOLOv5
--
Compare with...
YOLO11
YOLO11
Phi-3.5
YOLOv9 Image Segmentation
Florence 2 Image Segmentation
Florence 2 Object Detection
GPT-4o
4M
Florence 2
YOLOv9
YOLOv10
PaliGemma
YOLO-World
YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny
ResNet 32
Scaled YOLOv4
YOLOR
YOLOS
YOLOX
Faster R-CNN
OpenAI CLIP
Detectron2
Mask RCNN
SegFormer
MT-YOLOv6
YOLOv7
YOLOv5
Compare YOLO11 and EfficientNet with Autodistill