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 πŸ‘‡

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. Then you can easily deploy them.
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Google's MobileNetV2
Developed by Google, this model can classify 1,000 different objects - from umbrellas to volcanoes!
Example images MobileNet was trained to classify
MobileNet.zip
12MB
Binary
Download MobileNetV2
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FlowerNet
This model classifies daisies, dandelions, roses, sunflowers, and tulips.
Example images FlowerNet was trained to classify
FlowerNet.zip
8MB
Binary
Download FlowerNet
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Dog Breeds
This model can distinguish between 120 different dog breeds.
Example images this model was trained to classify
Dog Breeds.zip
8MB
Binary
Download Dog Breeds
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Rock-Paper-Scissors
This model can tell if you're throwing Rock, Paper, or Scissors from the classic game.
It was trained on 3D generated images instead of photographs, so for best results, take a picture of your hand in Rock, Paper, or Scissors formation over a clear plain surface.
Example images this model was trained to classify
Rock-Paper-Scissors.zip
8MB
Binary
Download Rock-Paper-Scissors

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:
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