Google Firebase ML Alternatives | Fritz AI

Firebase ML vs. Fritz AI Studio

Mobile Machine Learning Technology Comparison
 

Many engineers who are looking for an ML provider for their mobile project consider Firebase ML, which is Google’s machine learning platform for mobile developers. Currently in Beta, Firebase ML leverages Google’s popular AutoML system to provide no-code model training, which allows easier access for developers who are new to ML. However, developers can currently train only one kind of model (image classification), and they must manually collect and label data outside the platform. In addition to Firebase ML, Google also maintains ML Kit, a collection of pre-trained model API to help developers implement ML models in their apps quickly.

Fritz AI Studio is a machine learning platform built specifically for iOS and Android developers who may not have an ML background. Customers use it to generate and collect labeled datasets, train optimized models without code, deploy and manage on any mobile platforms, and improve models and app UX based on real-world data.

Download the Mobile Machine Learning Technology Comparison Guide

This free guide compares six different ML providers: Amazon SageMaker, Firebase ML, TensorFlow Lite, Create ML, Clarafai, and Fritz AI. See how each provider compares across data management, model training and management, deployment, model iteration, and more.

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Firebase ML vs. Fritz AI Product Specs

DATA

FRITZ AI

FIREBASE ML

Data Generation

✅ Labeled synthetic data generation

❌ Data generation unavailable

Data Upload

✅ COCO dataset bulk upload; zip file upload; individual image upload

✅ Upload training data

Data Labeling

✅ In-app labeler:

  • Image Labeling
  • Object Detection
  • Image Segmentation
  • Pose Estimation

❌ No in-app labeler

Data Export

✅ Export labeled dataset snapshots

❌ Dataset export unavailable

MODEL TRAINING

Model Training Interface

✅ No-code

✅ No-code via AutoML Vision Edge

Model Types Available

  • Image Labeling
  • Object Detection
  • Image Segmentation
  • Pose Estimation
  • Image Labeling

Advanced Configurations

✅ Fine-tune model inputs and outputs, configure performance requirements, and more

❌ No advanced configurations available.

Mobile-Specific Optimizations

✅ Use-case-based model variants; mobile-optimized model architectures

✅ Use-case-based model variants

MODEL MANAGEMENT

Model Export Types Supported

✅ Core ML (iOS); TensorFlow Lite (Cross-platform): SnapML (Snapchat)

✅ TensorFlow Lite

Model Versioning

✅ Keras/Model checkpoints

✅ Dynamic serving of latest models

Model Protection/Encryption

✅ Model encryption available

❌ Model encryption unavailable

MODEL DEPLOYMENT

Model Pre- and Post-Processing

✅ Built-in processing with Fritz SDK

✅ Built-in processing via standalone SDK ML Kit

Platforms Supported

✅ iOS, Android, Snapchat

✅ iOS, Android

MODEL RETRAINING & ITERATION

Ground-truth Data Collection

✅ Automatically collect and label real-world data to retrain models

✅ Manually collect and label ground-truth images to retrain models

Model Iteration

✅ Model Checkpoints

✅ Dynamic serving of latest models

Model Updates

✅ Over-the-air model downloads

Automatic model updates

PRICING & PLANS

Free Tier

✅  Permanent with monthly global usage limits; 14-day free trials for all paid subscription plans

✅ 1K images/project

3 hours/project

Pricing Structure

✅  Subscription-based pricing

✅ Pay as you go

SUPPORT

Available Support

✅  Plan-based support includes: Community forum, Slack, email, phone, and dedicated success manager

✅ Web-based support, slack community, Google Groups

Download the Mobile Machine Learning Technology Comparison Guide

This free guide breaks down the top mobile ML technologies and reviews them based on key components:

  • Data capabilities
  • Model training, management, and deployment
  • Model retraining and iteration
  • Pricing and support options

This guide offers product specs for Amazon SageMaker, Firebase ML, TensorFlow Lite, Create ML, Clarafai, and Fritz AI to help you decide which platform is best for your project.