Product
Solutions
Resources
Pricing
Docs
Talk to SalesSign in
Models
Mask RCNN vs. EfficientNet

Explore Models

By Task
All Models (32)Object Detection Models (19)Classification Models (7)Instance Segmentation Models (3)Semantic Segmentation Models (1)
By Feature
Foundation Vision ModelsMultimodal Vision ModelsImage Embedding ModelsReal Time Vision ModelsZero-Shot Detection ModelsOptimal for Edge Deployment

Mask RCNN vs. EfficientNet

Both

Mask RCNN

and

EfficientNet

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

Mask RCNN

and

EfficientNet

.

  Mask RCNN EfficientNet
Date of Release Oct 23, 2017 May 28, 2019
Model Type Instance Segmentation Classification
Architecture CNN
GitHub Stars 22500 7200

Mask RCNN

Mask RCNN is a convolutional neural network for instance segmentation.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow 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 AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about Mask RCNN
Learn more about EfficientNet

Compare Mask RCNN to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare EfficientNet to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.

Get started