# Download Pre-Built Models

### **Image Classification Models**

{% hint style="info" %}
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](https://guide.palletml.com/deploy/deploy-your-model).
{% endhint %}

:robot: **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](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMMyYItWvnfIie6BY7o%2F-MMNNZPopFkDwrKZFqA5%2Fdownload-1.png?alt=media\&token=630c50a1-48c5-4bb7-8d19-864e2fdbb7b3)

{% file src="<https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMI3DD6T31JfthRQcIt%2F-MMI6JdzQRAqqHZhOYVi%2FMobileNet.zip?alt=media&token=8b91fd30-08c0-41c0-bf39-84ecb311734b>" %}
Download MobileNetV2
{% endfile %}

:sunflower: **FlowerNet**

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

![Example images FlowerNet was trained to classify](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMMyYItWvnfIie6BY7o%2F-MMNNlik9SulHtGbp6fZ%2Fdownload-2.png?alt=media\&token=da7c99bf-d72a-42fc-b0c5-d998f918d1f4)

{% file src="<https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMI3DD6T31JfthRQcIt%2F-MMI6JdyieiVE9TBWkvM%2FFlowerNet.zip?alt=media&token=a0d7c88a-2355-4ad0-b033-62401e460d1e>" %}
Download FlowerNet
{% endfile %}

:dog: **Dog Breeds**

This model can distinguish between 120 different dog breeds.

![Example images this model was trained to classify](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMMyYItWvnfIie6BY7o%2F-MMNO79xPXCF5lF133Pm%2Fdownload-3.png?alt=media\&token=90a0de21-c877-49d4-ae0c-36ffd642bc63)

{% file src="<https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMI3DD6T31JfthRQcIt%2F-MMI6JdqDvY5KIaNXJ3E%2FDog%20Breeds.zip?alt=media&token=936f2fbb-fd45-49ea-9cd1-aae7d5921e38>" %}
Download Dog Breeds
{% endfile %}

:punch: **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](http://www.laurencemoroney.com/rock-paper-scissors-dataset/) 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](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMNOCPln6GKwC8KNOkY%2F-MMNPLor3D6rEMdrqQQr%2Fdownload-6.png?alt=media\&token=91f34cd4-6abf-47a5-b1db-7e279f5aeeef)

{% file src="<https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMNRB7cvvqsvfGyWzkZ%2F-MMI6JdvZIR73Zw3K_Gp%2FRock-Paper-Scissors.zip?alt=media&token=188eb32b-9058-47c1-a6af-7ed441af8305>" %}
Download Rock-Paper-Scissors
{% endfile %}

### 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:

{% content-ref url="../getting-started/tutorials/your-first-no-code-smart-app" %}
[your-first-no-code-smart-app](https://guide.palletml.com/getting-started/tutorials/your-first-no-code-smart-app)
{% endcontent-ref %}