Models
EfficientNet vs. Resnet-32

EfficientNet vs. Resnet-32

Both EfficientNet and ResNet 32 are commonly used in computer vision projects. Below, we compare and contrast EfficientNet and ResNet 32.

Models

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
icon-model

ResNet 32

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.
Learn more about ResNet 32
Model Type
Classification
--
Classification
--
Model Features
Item 1 Info
Item 2 Info
Architecture
CNN
--
--
Frameworks
Keras
--
Fast.ai v2
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
--
View Repo
--
View Repo
GitHub Stars
--
32+
--
License
--
--
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 EfficientNet and ResNet 32 with Autodistill

Compare EfficientNet vs. Resnet-32

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.