curl --request POST \
  --url https://api.landing.ai/v1/projects/{project_id}/train \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": {
    "architecture": "ConvNext-[16M]",
    "hyperParams": {
      "epochs": 20
    }
  },
  "transforms": {
    "preprocessing": [
      {
        "rescaleWithPadding": {
          "height": 896,
          "width": 1280,
          "paddingValue": 0
        }
      }
    ],
    "augmentations": [
      {
        "horizontalFlip": {
          "p": 0.5
        }
      },
      {
        "randAugment": {
          "numberTransforms": 2,
          "magnitude": 4
        }
      }
    ]
  }
}
'

import requests

url = "https://api.landing.ai/v1/projects/{project_id}/train"

payload = {
    "model": {
        "architecture": "ConvNext-[16M]",
        "hyperParams": { "epochs": 20 }
    },
    "transforms": {
        "preprocessing": [{ "rescaleWithPadding": {
                    "height": 896,
                    "width": 1280,
                    "paddingValue": 0
                } }],
        "augmentations": [{ "horizontalFlip": { "p": 0.5 } }, { "randAugment": {
                    "numberTransforms": 2,
                    "magnitude": 4
                } }]
    }
}
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: {architecture: 'ConvNext-[16M]', hyperParams: {epochs: 20}},
    transforms: {
      preprocessing: [{rescaleWithPadding: {height: 896, width: 1280, paddingValue: 0}}],
      augmentations: [{horizontalFlip: {p: 0.5}}, {randAugment: {numberTransforms: 2, magnitude: 4}}]
    }
  })
};

fetch('https://api.landing.ai/v1/projects/{project_id}/train', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "data": "edcfea45-33b5-4a52-8625-94d156e63fb3"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}