abhijit-sai/personal-color-test

AI to know your season, and the colors that suit you the best.

Public

346 runs

GitHub

Run abhijit-sai/personal-color-test with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
image	string		Input selfie image
model_version	None	v1	Engine version to use: 'v1' (original) or 'v2' (pipeline-split fix). v2 classifies undertone on raw stats instead of white-balanced stats.
tuning_params	string	{}	JSON string of tuning parameters (e.g. {'undertone_tau': 0.25, 'wb_max_deltaE': 6.0})

{
  "type": "object",
  "title": "Input",
  "required": [
    "image"
  ],
  "properties": {
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Input selfie image"
    },
    "model_version": {
      "enum": [
        "v1",
        "v2"
      ],
      "type": "string",
      "title": "model_version",
      "description": "Engine version to use: 'v1' (original) or 'v2' (pipeline-split fix). v2 classifies undertone on raw stats instead of white-balanced stats.",
      "default": "v1",
      "x-order": 1
    },
    "tuning_params": {
      "type": "string",
      "title": "Tuning Params",
      "default": "{}",
      "x-order": 2,
      "description": "JSON string of tuning parameters (e.g. {'undertone_tau': 0.25, 'wb_max_deltaE': 6.0})"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "title": "Output"
}