PalletML (beta)

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2020.03.19

2020.01.01 2020.03.19

2020.03.19

2020.01.01 2020.03.19

Machine Learning on Mobile
Quick Start - Deploy a Model
Pallet Web Console
Pallet Home Page
Getting Started
- Tutorials
  - Your First No-Code Smart App
Deploy
- Deploy a Model
- Share a Model
Explore
- Explore Pallet
Models
- Create an Image Classifier
  - Google Teachable Machine (No-Code)
- Download Pre-Built Models
Resources
- FAQ
- About
Contact

On this page

No-Code Tools
Google's Teachable Machine
Lobe.ai
TensorFlow

Was this helpful?

Models

Create an Image Classifier

PreviousExplore Pallet NextGoogle Teachable Machine (No-Code)

Last updated 4 years ago

Was this helpful?

On this page

No-Code Tools
Google's Teachable Machine
Lobe.ai
TensorFlow

Was this helpful?

Models

Create an Image Classifier

No-Code Tools

Google's Teachable Machine

Train & deploy a custom model with Google's

Lobe.ai

Coming soon...

TensorFlow

Build, train & deploy a custom model with TensorFlow + Keras

We'll include a demo Colab notebook here soon...

PreviousExplore Pallet NextGoogle Teachable Machine (No-Code)

Last updated 4 years ago

Was this helpful?

No-Code Tools

Google's Teachable Machine

Train & deploy a custom model with Google's

Google Teachable Machine (No-Code)

Lobe.ai

Train & deploy a custom model with

Coming soon...

TensorFlow

Build, train & deploy a custom model with TensorFlow + Keras

PalletML will work with any image classification model developed with TensorFlow. Just convert your model to TensorFlow Lite, prepare a plaintext labels file, and follow the .

We'll include a demo Colab notebook here soon...

Train & deploy a custom model with

PalletML will work with any image classification model developed with TensorFlow. Just convert your model to TensorFlow Lite, prepare a plaintext labels file, and follow the .

Google Teachable Machine (No-Code)

Lobe.ai

steps for deployment

Teachable Machine