Image Segmentation to Apply Pixel Masks to Scenes | Fritz

Image Segmentation

Use Image Segmentation to recognize everyday objects and identify exactly which pixels belong to each object. Great for creating pixel-level masks, performing portrait segmentation and more.
 

Premium Available

Image Segmentation is included in the free Basic plan. Upgrading to Premium adds these additional features and limits:

  • High resolution segments
  • Custom scene training
  • Unlimited devices

View Plans

Supports 3 Scenes

Use Image Segmentation to recognize different objects in one of 3 scenes:

  • Outdoor - Identify different objects when you’re exploring the city or your neighborhood.
  • Living Room - Identify different objects when you’re at home.
  • People - Identify people in the view.
Customize Scenes

Our team can create custom image segmentation scenes upon request.

Runs On-Device

All predictions / model inferences are made completely on-device.

No internet connection is required to interpret images or video.

No internet dependency means super-fast performance.

Cross-Platform SDKs

Supported mobile platforms:

  • Android Image Segmentation
  • iOS Image Segmentation
Live Video Performance

Runs on live video with a fast frame rate.

Exact FPS performance varies depending on device, but it is possible to run this feature on live video on modern mobile devices.

Technical Specifications

Architecture

ICNet variant

Model Size

~25 MB

FLOPS

8,750 M

Input

384x384-pixel image

768x768 in Premium

Output

Height and width of the mask

Number of classes the model predicts

Probability that pixel belongs to class

Formats

Core ML, TensorFlow, TensorFlow Mobile, Keras

Benchmarks

12 FPS on iPhone X

1 FPS on Pixel 2