---
title: resnet-50
description: 50 layers deep image classification CNN trained on more than 1M images from ImageNet
image: https://developers.cloudflare.com/dev-products-preview.png
---

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#  resnet-50 

Image Classification • Microsoft 

`@cf/microsoft/resnet-50` 

50 layers deep image classification CNN trained on more than 1M images from ImageNet

| Model Info       |                                                                                                                                                                       |
| ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| More information | [link ↗](https://www.microsoft.com/en-us/research/blog/microsoft-vision-model-resnet-50-combines-web-scale-data-and-multi-task-learning-to-achieve-state-of-the-art/) |
| Unit Pricing     | $0.0000025 per inference request                                                                                                                                      |

## Usage

* [  TypeScript ](#tab-panel-5278)
* [  curl ](#tab-panel-5279)

```
export interface Env {  AI: Ai;}
export default {  async fetch(request, env): Promise<Response> {    const res = await fetch("https://cataas.com/cat");    const blob = await res.arrayBuffer();
    const inputs = {      image: [...new Uint8Array(blob)],    };
    const response = await env.AI.run(      "@cf/microsoft/resnet-50",      inputs    );
    return new Response(JSON.stringify(response));  },} satisfies ExportedHandler<Env>;
```

Terminal window

```
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/microsoft/resnet-50  \    -X POST  \    -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN"  \    --data-binary "@orange-llama.png"
```

## Parameters

* [ Input ](#tab-panel-5280)
* [ Output ](#tab-panel-5281)

Option 1

stringformat: binary

The image to classify

▶Option 2{}

object

type

`array`

contentType

`application/json`

items

`[object Object]`

## API Schemas (Raw)

Input [ ](https://developers.cloudflare.com/workers-ai/models/resnet-50/schema-input.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/resnet-50/schema-input.json "Download") 

Output [ ](https://developers.cloudflare.com/workers-ai/models/resnet-50/schema-output.json "Open") [ ](https://developers.cloudflare.com/workers-ai/models/resnet-50/schema-output.json "Download")

```json
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```