Models
MobileNet V2 Classification vs. Mask RCNN

MobileNet V2 Classification vs. Mask RCNN

Both MobileNet V2 Classification and Mask RCNN are commonly used in computer vision projects. Below, we compare and contrast MobileNet V2 Classification and Mask RCNN.

Models

icon-model

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.
Learn more about MobileNet V2 Classification
icon-model

Mask RCNN

Mask RCNN is a convolutional neural network for instance segmentation.
Learn more about Mask RCNN
Model Type
Classification
--
Instance Segmentation
--
Model Features
Item 1 Info
Item 2 Info
Architecture
--
--
Frameworks
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
--
24k+
--
License
--
MIT
--
Training Notebook

Compare MobileNet V2 Classification and Mask RCNN with Autodistill

Models

MobileNet V2 Classification vs. Mask RCNN

.

Both

MobileNet V2 Classification

and

Mask RCNN

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

MobileNet V2 Classification

and

Mask RCNN
  MobileNet V2 Classification Mask RCNN
Date of Release Oct 23, 2017
Model Type Classification Instance Segmentation
Architecture
GitHub Stars 24000

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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

Deploy a computer vision model today

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

Get started