Nanonets Image Classification API

openapi: 3.0.3
info:
  title: Nanonets Image Classification API
  description: |
    Predict against a Nanonets image classification model. Submit images either
    as multipart file uploads or as a batch of publicly accessible URLs.
  version: 2.0.0
  contact:
    name: Nanonets
    url: https://nanonets.com
    email: support@nanonets.com
servers:
  - url: https://app.nanonets.com/api/v2
security:
  - BasicAuth: []
tags:
  - name: Image Classification Predict
    description: Predict on uploaded images or image URLs against a classification model.
paths:
  /ImageCategorization/LabelFile/:
    post:
      tags: [Image Classification Predict]
      summary: Prediction For Image File
      description: Upload a file from the local filesystem to an image classification model.
      operationId: imageCategorizationLabelFilePost
      requestBody:
        required: true
        content:
          multipart/form-data:
            schema:
              type: object
              required: [file, modelId]
              properties:
                file:
                  type: string
                  format: binary
                modelId:
                  type: string
                  description: Unique identifier of the classification model.
      responses:
        '200':
          description: Classification result.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ClassificationResponse'
  /ImageCategorization/LabelUrls/:
    post:
      tags: [Image Classification Predict]
      summary: Prediction For Image URLs
      description: Submit one or more publicly accessible image URLs for classification.
      operationId: imageCategorizationLabelUrlsPost
      requestBody:
        required: true
        content:
          application/x-www-form-urlencoded:
            schema:
              type: object
              required: [urls, modelId]
              properties:
                urls:
                  type: array
                  items: { type: string, format: uri }
                modelId:
                  type: string
      responses:
        '200':
          description: Classification result.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ClassificationResponse'
components:
  securitySchemes:
    BasicAuth:
      type: http
      scheme: basic
  schemas:
    ClassificationResponse:
      type: object
      properties:
        message: { type: string }
        result:
          type: array
          items:
            type: object
            properties:
              message: { type: string }
              prediction:
                type: array
                items:
                  type: object
                  properties:
                    label: { type: string }
                    probability: { type: number, minimum: 0, maximum: 1 }
              input: { type: string }