PalletML (beta)
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2020.01.01
2020.01.01
  • Machine Learning on Mobile
  • Quickstart
    • Your First No-Code Smart App
    • Download Pre-Built Models
  • Deploy
    • Deploy Your Model
    • Share Your Model
  • Explore
    • Explore
  • Create an Image Classifier
    • Google Teachable Machine (No-Code)
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  • Image Classification Models
  • Deploy Your Model

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  1. Quickstart

Download Pre-Built Models

Want to try Pallet but don't have a model handy? Download one of these pre-built models to get started now 👇

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Last updated 4 years ago

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Image Classification Models

Each download is zip file containing a TensorFlow Lite Model + Labels pair. When the download completes, unzip the model assets to your computer.

Google's MobileNetV2

Developed by Google, this model can classify 1,000 different objects - from umbrellas to volcanoes!

This model classifies daisies, dandelions, roses, sunflowers, and tulips.

This model can distinguish between 120 different dog breeds.

This model can tell if you're throwing Rock, Paper, or Scissors from the classic game.

Deploy Your Model

Now that you have model assets prepared, head back over to the tutorial to turn your model into a shareable image classification app:

FlowerNet

Dog Breeds

Rock-Paper-Scissors

It was trained on instead of photographs, so for best results, take a picture of your hand in Rock, Paper, or Scissors formation over a clear plain surface.

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3D generated images
Your First No-Code Smart App
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12MB
MobileNet.zip
archive
Download MobileNetV2
8MB
FlowerNet.zip
archive
Download FlowerNet
8MB
Dog Breeds.zip
archive
Download Dog Breeds
8MB
Rock-Paper-Scissors.zip
archive
Download Rock-Paper-Scissors
Example images MobileNet was trained to classify
Example images FlowerNet was trained to classify
Example images this model was trained to classify
Example images this model was trained to classify