Resnet model pre-trained on ImageNet-1k at resolution 224x224 for image classification

You can use cURL or any other http client to run inferences:

```bash
curl -X POST \
    -H "Authorization: bearer $(deepctl auth token)"  \
    -F image=@my_image.jpg  \
    'https://api.deepinfra.com/v1/inference/microsoft/resnet-50'
```

which will give you back something similar to:

```json
{
  "results": [
    {
      "label": "Maltese dog, Maltese terrier, Maltese",
      "score": 0.9235488176345825
    },
    {
      "label": "Lhasa, Lhasa apso",
      "score": 0.0298430435359478
    }
  ],
  "request_id": null,
  "inference_status": {
    "status": "unknown",
    "runtime_ms": 0,
    "cost": 0.0,
    "tokens_generated": 0,
    "tokens_input": 0
  }
}

```


You can use our command-line tool [deepctl](/docs/getting-started) to run
inferences:

```bash
deepctl infer \
    -m 'microsoft/resnet-50'  \
    -i image=@my_image.jpg
```

which will give you back something similar to:

```json
{
  "results": [
    {
      "label": "Maltese dog, Maltese terrier, Maltese",
      "score": 0.9235488176345825
    },
    {
      "label": "Lhasa, Lhasa apso",
      "score": 0.0298430435359478
    }
  ],
  "request_id": null,
  "inference_status": {
    "status": "unknown",
    "runtime_ms": 0,
    "cost": 0.0,
    "tokens_generated": 0,
    "tokens_input": 0
  }
}

```


image

The webhook to call when inference is done, by default you will get the output in the response of your inference request

webhook

Image

Webhook

ImageClassificationIn

Label

Score

Item

estimated cost billed for the request in USD

Cost

Runtime Ms

Status

Tokens Generated

Tokens Input

Object containing the status of the inference request

Inference Status

Request Id

a list of top classifications, ordered by score

microsoft/resnet-50

HTTP/cURL API

Input fields

`image`string

`webhook`file

Input Schema

Output Schema