Fashion Tagging

Quickstart Taxonomy Blog Test in App Public Demo

To access the Ximilar API, first register at Ximilar App to get your API token. The API follows the general rules as described in the First Steps. This service is available in paid pricing plans. For more information, see Pricing page.

The Fashion Tagging API automatically labels fashion products with categories, subcategories, and detailed tags
(style, design, materials, colors, occasions, and optionally also scene and background details). These tags can be used for search, filtering, recommendations, and inventory management.

The full Ximilar Fashion Tagging taxonomy spans hundreds of tags covering clothing (dresses, jackets, pants), accessories (bags, footwear, jewellery), and features like colors, patterns, materials, and fit. You can test it via public demo.

Taxonomy

Ximilar Fashion Taxonomy includes:

Category Furniture with subcategories Seating, Tables, Storage, Bedroom, Office, and Outdoor
Category Accessories with subcategories Lighting, Mirrors, Frames, Textiles, Bathroom, Kitchenware, and Decorations
Hundreds of tags covering furniture types, lighting, decorations, utility items, materials, colors, patterns, and rooms

Endpoints

This service provides several API endpoints, each designed for a specific use case:

https://api.ximilar.com/tagging/fashion/v2/top_categories  (retrieve list of top categories)
https://api.ximilar.com/tagging/fashion/v2/detect_tags     (detect and tag largest fashion item)
https://api.ximilar.com/tagging/fashion/v2/detect          (detection only)
https://api.ximilar.com/tagging/fashion/v2/tags            (tagging only)
https://api.ximilar.com/tagging/fashion/v2/detect_tags_all (detect and tag all items on image)
https://api.ximilar.com/tagging/fashion/v2/meta            (meta tags: background, scene, view, person part)
https://api.ximilar.com/tagging/fashion/v2/region          (region identification)

If you need to process a large number of requests per day or month and don’t require immediate results, use our asynchronous requests with webhooks.

Custom Features

If you’re looking for a more detailed analysis of fashion apparel and accessories, such as:

You’re missing a specific feature, item, or category and would like it added to this endpoint
You want visual search or identification of specific fashion items
You want to enable visual search on your own fashion catalog
You want to get the tagging results in your own language

Then please contact us at care@ximilar.com, and we will create a customized solution tailored to your needs.

GET/v2/top_categories

Top Categories

This endpoint returns a list of all available top categories and their subcategories in the fashion taxonomy.

Returns

HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:

Name
Clothing
Type
array
Description
List of clothing subcategories.
Name
Footwear
Type
array
Description
List of footwear subcategories.
Name
Jewellery
Type
array
Description
List of jewellery subcategories.
Name
Bags
Type
array
Description
List of bags subcategories.
Name
Accessories
Type
array
Description
List of accessories subcategories.
Name
Underwear
Type
array
Description
List of underwear subcategories.
Name
Watch
Type
array
Description
List of watch subcategories.

Request

GET

/v2/top_categories

curl https://api.ximilar.com/tagging/fashion/v2/top_categories -H "Content-Type: application/json"

Response

{
  "Clothing": [
    "Clothing/Baby Clothes",
    "Clothing/Bathrobes",
    "Clothing/Dresses",
    "Clothing/Jackets and Coats",
    "Clothing/Nightwear",
    "Clothing/Overalls and Dungarees",
    "Clothing/Pants",
    "Clothing/Skirts",
    "Clothing/Upper"
  ],
  "Footwear": [
    "Footwear/Ballerinas",
    "Footwear/Chelsea and Ankle boots",
    "Footwear/Crocs",
    "Footwear/Flip-Flops",
    "Footwear/Formal Shoes",
    "Footwear/Free Time Shoes",
    "Footwear/Hiking",
    "Footwear/Ladies High Boots",
    "Footwear/Mules",
    "Footwear/Pumps",
    "Footwear/Rubber Boots",
    "Footwear/Sandals",
    "Footwear/Ski Boots",
    "Footwear/Slippers",
    "Footwear/Sneakers",
    "Footwear/Snow Boots",
    "Footwear/Trainers"
  ],
  "Jewellery": [
    "Jewellery/Bracelets",
    "Jewellery/Brooches, Badges and Pins",
    "Jewellery/Cufflinks",
    "Jewellery/Earrings and Earcuffs",
    "Jewellery/Necklaces, Pendants and Chains",
    "Jewellery/Rings",
    "Jewellery/Pins and Clips"
  ],
  "Bags": [
    "Bags/Backpacks",
    "Bags/Bum Bags",
    "Bags/Luggage",
    "Bags/Men's Bags",
    "Bags/Purses and Wallets",
    "Bags/Women's Bags"
  ],
  "Accessories": [
    "Accessories/Belts",
    "Accessories/Eyewear",
    "Accessories/Gloves",
    "Accessories/Hats and Caps",
    "Accessories/Scarves",
    "Accessories/Ties"
  ],
  "Underwear": [
    "Underwear/Bodies",
    "Underwear/Bras",
    "Underwear/Panties and Underpants",
    "Underwear/Sets",
    "Underwear/Socks",
    "Underwear/Tights"
  ],
  "Watch": []
}

POST/v2/detect_tags

Fashion Detection and Tags

Given a list of image records, this method detects fashion objects and returns tags for the largest object or a selected object.

Required attributes

Name
records
Type
dict
Max
Maximum:10
Description
A batch of JSON records (max 10). Each record represents a single image, defined by _url or _base64.

Optional attributes

Name
aggregate_labels
Type
boolean
Default
Default:false
Description
If true, the records are treated as multiple photos of the same object. Tags are generated for each image separately, then aggregated into a single list for the entire batch.
Name
profile
Type
string
Description
If you have a custom tagging profile, apply its ID to transform the _tags — e.g., rename, add, or remove tags/features.
Name
language
Type
string
Description
Language code for tag translations. Currently supports Spanish (es) and Portuguese (pt). Contact care@ximilar.com for more options.
Name
skip_empty
Type
boolean
Default
Default:false
Description
If true, skip tagging when no fashion objects are detected. By default, if no object is found, the endpoint creates an artificial object covering the entire image.

Returns

HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:

Name
records
Type
dict
Description
JSON array with the input records, each record enriched by field _objects (of type Fashion Item). The main object contains _tags with necessary information of identified fashion item.
Name
status
Type
dict
Description
A JSON map/dictionary with a status of the method processing. It contains these subfields: code (numeric code of the operation status; it follows the concept of HTTP status codes) and text (text describing the status code).

Request

POST

/v2/detect_tags

curl https://api.ximilar.com/tagging/fashion/v2/detect_tags -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
  "records": [
      {
        "_url": "__PATH_TO_IMAGE_URL__"
      }
  ],
  "aggregate_labels": true
}'

Response

{
  "records": [
    {
      "_url": "https://images.ximilar.com/examples/fashion_real/5_Unsplash.jpg",
      "_status": {
        "code": 200,
        "text": "OK",
        "request_id": "f9aaa4e4-740e-4668-b481-5f968d196a0d"
      },
      "_id": "abda24bb-5117-4f10-ba79-5f5483a42aa0",
      "_width": 1461,
      "_height": 2048,
      "_objects": [
        {
          "name": "Clothing",
          "id": "8e6cf45d-d416-4560-a89a-1b83b80e003b",
          "bound_box": [
            562,
            172,
            1152,
            1812
          ],
          "prob": 0.9680776000022888,
          "area": 0.32338188740588636,
          "Top Category": "Clothing",
          "_tags": {
            "Category": [
              {
                "prob": 0.99792,
                "name": "Clothing/Pants",
                "id": "7e3a6f68-f13a-417c-9613-16e6045b4020"
              }
            ],
            "Color": [
              {
                "prob": 0.99758,
                "name": "grey",
                "id": "a4ed4e28-3280-47cc-89c5-8928bf62d266"
              }
            ],
            "Style": [
              {
                "prob": 0.97983,
                "name": "casual",
                "id": "404554c5-61bc-4f9f-a314-ebfc67607b96"
              }
            ],
            "Subcategory": [
              {
                "prob": 0.98955,
                "name": "sweat pants",
                "id": "d0e5d8b3-cf4c-477f-b780-38d96575679c"
              }
            ],
            "Gender": [
              {
                "prob": 0.95374,
                "name": "women",
                "id": "cc58c8ea-17a1-4caf-871b-3953a5ff4c3e"
              }
            ],
            "Material": [
              {
                "prob": 0.64668,
                "name": "linen",
                "id": "2638aa3c-c9cc-4964-b58b-6caffeaa4590"
              }
            ],
            "Length": [
              {
                "prob": 0.98977,
                "name": "long",
                "id": "19a29ff1-7691-4bbd-a2ab-430b642ef11e"
              }
            ],
            "Fit": [
              {
                "prob": 0.65968,
                "name": "straight",
                "id": "56baba63-0cad-4a5a-a97b-d09be37b99de"
              }
            ],
            "Age": [
              {
                "prob": 0.99849,
                "name": "adult",
                "id": "464f18b8-e61b-4f95-afe6-48b3a8db26ab"
              }
            ],
            "Design": [
              {
                "prob": 0.97059,
                "name": "melange",
                "id": "72a54b33-3e30-4a1c-bbaa-d05f45d0f381"
              }
            ],
            "Top Category": [
              {
                "id": "13052be8-2cc7-48e4-a782-a00d658f997c",
                "name": "Clothing",
                "prob": 1.0
              }
            ]
          },
          "_tags_map": {
            "Top Category": "Clothing",
            "Category": "Clothing/Pants",
            "Color": "grey",
            "Style": "casual",
            "Subcategory": "sweat pants",
            "Gender": "women",
            "Material": "linen",
            "Length": "long",
            "Fit": "straight",
            "Age": "adult",
            "Design": "melange"
          },
          "_tags_simple": [
            "grey",
            "sweat pants",
            "melange",
            "straight",
            "women",
            "long",
            "Clothing/Pants",
            "adult",
            "casual",
            "Clothing",
            "linen"
          ],
          "Category": "Clothing/Pants"
        }
      ]
    }
  ],
  "status": {
    "code": 200,
    "text": "OK",
    "request_id": "f9aaa4e4-740e-4668-b481-5f968d196a0d",
    "proc_id": "b98fa409-37b3-4eab-ac56-e01bea3f2fbf"
  },
  "statistics": {
    "processing time": 1.0212260818481445
  }
}

POST/v2/meta

Meta Tagging

Given a list of image records, this method returns meta tags for identification of background (Meta/Background), scene (Meta/Scene), view (Meta/View) and person part (Meta/Person part).

Required attributes

Name
records
Type
dict
Max
Maximum:10
Description
A batch of JSON records (max 10). Each record represents a single image, defined by _url or _base64.

Optional attributes

Name
language
Type
string
Description
Use language code for tag translations. For more info please contact us at care@ximilar.com

Returns

HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:

Name
records
Type
dict
Description
JSON array with the input records, each record enriched by fields _tags_meta and _tags_meta_simple.
Name
status
Type
dict
Description
A JSON map/dictionary with a status of the method processing. It contains these subfields: code (numeric code of the operation status; it follows the concept of HTTP status codes) and text (text describing the status code).

Request

POST

/v2/meta

curl https://api.ximilar.com/tagging/fashion/v2/meta -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
  "records": [
      {
        "_url": "__PATH_TO_IMAGE_URL__"
      }
  ]
}'

Response

{
  "records": [
    {
      "_url": "https://images.ximilar.com/examples/fashion_products/040c944a07f9762c0f16212743c30882.jpg",
      "_status": {
        "code": 200,
        "text": "OK",
        "request_id": "41f474bb-08c5-4a8c-8c63-a0dd7cd3d198"
      },
      "_id": "67a6a13e-da3c-4c06-ac7b-ff2c5f18d231",
      "_width": 415,
      "_height": 1024,
      "Meta/Scene": "whole product",
      "_tags_meta": {
        "Top Category": [
          {
            "prob": 0.99942,
            "name": "Clothing",
            "id": "13052be8-2cc7-48e4-a782-a00d658f997c"
          }
        ],
        "Meta/View": [
          {
            "prob": 0.96136,
            "name": "front view",
            "id": "fe4b3dc0-80de-4b7e-a47f-7f87afc5b705"
          }
        ],
        "Meta/Background": [
          {
            "prob": 0.95783,
            "name": "studio background",
            "id": "09a446ba-a8c3-4177-b8d9-92582a44274b"
          }
        ],
        "Meta/Scene": [
          {
            "prob": 0.79654,
            "name": "whole product",
            "id": "ea071eca-d308-445f-b992-874f7e9daf49"
          }
        ]
      },
      "_tags_meta_simple": [
        "whole product",
        "Clothing",
        "front view",
        "studio background"
      ]
    }
  ],
  "status": {
    "code": 200,
    "text": "OK",
    "request_id": "41f474bb-08c5-4a8c-8c63-a0dd7cd3d198",
    "proc_id": "57550b16-f3ae-42e4-831e-3149781f9be7"
  },
  "statistics": {
    "processing time": 1.7702245712280273
  }
}

POST/v2/region

Region Identification

Given a list of image records, this method identifies the geographic region for fashion product photos. Currently, it recognizes indian or generic apparel regions. You can use this method as a preliminary step before calling /v2/detect_tags with the regions parameter.

Required attributes

Name
records
Type
dict
Max
Maximum:10
Description
A batch of JSON records (max 10). Each record represents a single image, defined by _url or _base64.

Returns

HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:

Name
records
Type
dict
Description
JSON array with the input records, each record enriched by field region containing identified region with probability.
Name
status
Type
dict
Description
A JSON map/dictionary with a status of the method processing. It contains these subfields: code (numeric code of the operation status; it follows the concept of HTTP status codes) and text (text describing the status code).

Request

POST

/v2/region

curl https://api.ximilar.com/tagging/fashion/v2/region -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
  "records": [
      {
        "_url": "__PATH_TO_IMAGE_URL__"
      }
  ]
}'

Response

{
  "records": [
    {
      "_url": "__IMG_URL__",
      "_status": {
        "code": 200,
        "text": "OK",
        "request_id": "54ecf161-691d-4aed-8971-7a48b59e09c2"
      },
      "_id": "0bc4a76c-5cb0-476e-8a37-7f7ad45312d7",
      "_width": 800,
      "_height": 1100,
      "region": [
        {
          "prob": 0.99968,
          "name": "indian",
          "id": "651367ac-4124-42ef-982f-fcb2de7dc090"
        },
        {
          "prob": 0.00032,
          "name": "generic",
          "id": "f4768aab-3241-4c6c-94b2-171e8179de02"
        }
      ]
    }
  ],
  "status": {
    "code": 200,
    "text": "OK",
    "request_id": "54ecf161-691d-4aed-8971-7a48b59e09c2",
    "proc_id": "c7c344f7-a330-4469-bf72-7c1ac847133f"
  },
  "statistics": {
    "processing time": 1.7442286014556885
  }
}

POST/v2/detect

Fashion Detection

Given a list of image records, this method returns all detected fashion objects on an image without any tags.

Required attributes

Name
records
Type
dict
Max
Maximum:10
Description
A batch of JSON records (max 10). Each record represents a single image, defined by _url or _base64.

Returns

HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:

Name
records
Type
dict
Description
JSON array with the input records, each record enriched by field _objects containing categories, IDs, and bounding boxes of detected fashion items.
Name
status
Type
dict
Description
A JSON map/dictionary with a status of the method processing. It contains these subfields: code (numeric code of the operation status; it follows the concept of HTTP status codes) and text (text describing the status code).

Request

POST

/v2/detect

curl https://api.ximilar.com/tagging/fashion/v2/detect -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
  "records": [
      {
        "_url": "__PATH_TO_IMAGE_URL__"
      }
  ]
}'

Response

{
  "records": [
    {
      "_url": "https://images.ximilar.com/examples/fashion_real/5_Unsplash.jpg",
      "_status": {
        "code": 200,
        "text": "OK",
        "request_id": "f9aaa4e4-740e-4668-b481-5f968d196a0d"
      },
      "_id": "abda24bb-5117-4f10-ba79-5f5483a42aa0",
      "_width": 1461,
      "_height": 2048,
      "_objects": [
        {
          "name": "Clothing",
          "id": "8e6cf45d-d416-4560-a89a-1b83b80e003b",
          "bound_box": [
            562,
            172,
            1152,
            1812
          ],
          "prob": 0.9680776000022888,
          "area": 0.32338188740588636,
          "Top Category": "Clothing"
        }
      ]
    }
  ],
  "status": {
    "code": 200,
    "text": "OK",
    "request_id": "f9aaa4e4-740e-4668-b481-5f968d196a0d",
    "proc_id": "b98fa409-37b3-4eab-ac56-e01bea3f2fbf"
  },
  "statistics": {
    "processing time": 0.8212260818481445
  }
}

POST/v2/tags

Fashion Tags

Given a list of image records, this method assigns tags to the entire image without running object detection. It is best suited for collections with single-item product images on a plain background.

Required attributes

Name
records
Type
dict
Max
Maximum:10
Description
A batch of JSON records (max 10). Each record represents a single image, defined by _url or _base64.

Optional attributes

Name
profile
Type
string
Description
If you have a custom tagging profile, apply its ID to transform the _tags — e.g., rename, add, or remove tags/features.
Name
language
Type
string
Description
Language code for tag translations. Currently we support Spanish (es) and Portuguese (pt). For more info please contact us at care@ximilar.com

Returns

HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:

Name
records
Type
dict
Description
JSON array with the input records, each record enriched by field _tags containing all possible tags for the fashion item.
Name
status
Type
dict
Description
A JSON map/dictionary with a status of the method processing. It contains these subfields: code (numeric code of the operation status; it follows the concept of HTTP status codes) and text (text describing the status code).

Request

POST

/v2/tags

curl https://api.ximilar.com/tagging/fashion/v2/tags -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
  "records": [
      {
        "_url": "__PATH_TO_IMAGE_URL__"
      }
  ]
}'

Response

{
  "records": [
    {
      "_url": "https://images.ximilar.com/examples/fashion_real/5_Unsplash.jpg",
      "_status": {
        "code": 200,
        "text": "OK",
        "request_id": "f9aaa4e4-740e-4668-b481-5f968d196a0d"
      },
      "_id": "abda24bb-5117-4f10-ba79-5f5483a42aa0",
      "_width": 1461,
      "_height": 2048,
      "_tags": {
        "Category": [
          {
            "prob": 0.99792,
            "name": "Clothing/Pants",
            "id": "7e3a6f68-f13a-417c-9613-16e6045b4020"
          }
        ],
        "Color": [
          {
            "prob": 0.99758,
            "name": "grey",
            "id": "a4ed4e28-3280-47cc-89c5-8928bf62d266"
          }
        ],
        "Style": [
          {
            "prob": 0.97983,
            "name": "casual",
            "id": "404554c5-61bc-4f9f-a314-ebfc67607b96"
          }
        ],
        "Subcategory": [
          {
            "prob": 0.98955,
            "name": "sweat pants",
            "id": "d0e5d8b3-cf4c-477f-b780-38d96575679c"
          }
        ],
        "Gender": [
          {
            "prob": 0.95374,
            "name": "women",
            "id": "cc58c8ea-17a1-4caf-871b-3953a5ff4c3e"
          }
        ],
        "Material": [
          {
            "prob": 0.64668,
            "name": "linen",
            "id": "2638aa3c-c9cc-4964-b58b-6caffeaa4590"
          }
        ],
        "Length": [
          {
            "prob": 0.98977,
            "name": "long",
            "id": "19a29ff1-7691-4bbd-a2ab-430b642ef11e"
          }
        ],
        "Fit": [
          {
            "prob": 0.65968,
            "name": "straight",
            "id": "56baba63-0cad-4a5a-a97b-d09be37b99de"
          }
        ],
        "Age": [
          {
            "prob": 0.99849,
            "name": "adult",
            "id": "464f18b8-e61b-4f95-afe6-48b3a8db26ab"
          }
        ],
        "Design": [
          {
            "prob": 0.97059,
            "name": "melange",
            "id": "72a54b33-3e30-4a1c-bbaa-d05f45d0f381"
          }
        ],
        "Top Category": [
          {
            "id": "13052be8-2cc7-48e4-a782-a00d658f997c",
            "name": "Clothing",
            "prob": 1.0
          }
        ]
      },
      "_tags_map": {
        "Top Category": "Clothing",
        "Category": "Clothing/Pants",
        "Color": "grey",
        "Style": "casual",
        "Subcategory": "sweat pants",
        "Gender": "women",
        "Material": "linen",
        "Length": "long",
        "Fit": "straight",
        "Age": "adult",
        "Design": "melange"
      },
      "_tags_simple": [
        "grey",
        "sweat pants",
        "melange",
        "straight",
        "women",
        "long",
        "Clothing/Pants",
        "adult",
        "casual",
        "Clothing",
        "linen"
      ]
    }
  ],
  "status": {
    "code": 200,
    "text": "OK",
    "request_id": "f9aaa4e4-740e-4668-b481-5f968d196a0d",
    "proc_id": "b98fa409-37b3-4eab-ac56-e01bea3f2fbf"
  },
  "statistics": {
    "processing time": 0.9212260818481445
  }
}

POST/v2/detect_tags_all

Fashion Detection and Tags All

Given a list of image records, this method returns all detected fashion objects in the image, along with their corresponding tags.

Required attributes

Name
records
Type
dict
Max
Maximum:10
Description
A batch of JSON records (max 10). Each record represents a single image, defined by _url or _base64.

Optional attributes

Name
profile
Type
string
Description
If you have a custom tagging profile, apply its ID to transform the _tags — e.g., rename, add, or remove tags/features.
Name
language
Type
string
Description
Language code for tag translations. For more info please contact us at care@ximilar.com.
Name
skip_empty
Type
boolean
Default
Default:False
Description
If true, skip tagging when no fashion objects are detected. By default, if no object is found, the endpoint creates an artificial object covering the entire image.

Returns

HTTP error code 2XX, if the method was OK, and other HTTP error code, if the method failed. The response body is a JSON object (map) with the following fields:

Name
records
Type
dict
Description
JSON array with the input records, each record enriched by field _objects (of type Fashion Item). Each object contains _tags with information about the item.
Name
status
Type
dict
Description
A JSON map/dictionary with a status of the method processing. It contains these subfields: code (numeric code of the operation status; it follows the concept of HTTP status codes) and text (text describing the status code).

Request

POST

/v2/detect_tags_all

curl https://api.ximilar.com/tagging/fashion/v2/detect_tags_all -H "Content-Type: application/json" -H "Authorization: Token __API_TOKEN__" -d '{
  "records": [
      {
        "_url": "__PATH_TO_IMAGE_URL__"
      }
  ]
}'

Response

{
  "records": [
    {
      "_url": "https://images.ximilar.com/examples/fashion_real/5_Unsplash.jpg",
      "_status": {
        "code": 200,
        "text": "OK",
        "request_id": "f9aaa4e4-740e-4668-b481-5f968d196a0d"
      },
      "_id": "abda24bb-5117-4f10-ba79-5f5483a42aa0",
      "_width": 1461,
      "_height": 2048,
      "_objects": [
        {
          "name": "Clothing",
          "id": "8e6cf45d-d416-4560-a89a-1b83b80e003b",
          "bound_box": [
            562,
            172,
            1152,
            1812
          ],
          "prob": 0.9680776000022888,
          "area": 0.32338188740588636,
          "Top Category": "Clothing",
          "_tags": {
            "Category": [
              {
                "prob": 0.99792,
                "name": "Clothing/Pants",
                "id": "7e3a6f68-f13a-417c-9613-16e6045b4020"
              }
            ],
            "Color": [
              {
                "prob": 0.99758,
                "name": "grey",
                "id": "a4ed4e28-3280-47cc-89c5-8928bf62d266"
              }
            ],
            "Style": [
              {
                "prob": 0.97983,
                "name": "casual",
                "id": "404554c5-61bc-4f9f-a314-ebfc67607b96"
              }
            ],
            "Subcategory": [
              {
                "prob": 0.98955,
                "name": "sweat pants",
                "id": "d0e5d8b3-cf4c-477f-b780-38d96575679c"
              }
            ],
            "Gender": [
              {
                "prob": 0.95374,
                "name": "women",
                "id": "cc58c8ea-17a1-4caf-871b-3953a5ff4c3e"
              }
            ],
            "Material": [
              {
                "prob": 0.64668,
                "name": "linen",
                "id": "2638aa3c-c9cc-4964-b58b-6caffeaa4590"
              }
            ],
            "Length": [
              {
                "prob": 0.98977,
                "name": "long",
                "id": "19a29ff1-7691-4bbd-a2ab-430b642ef11e"
              }
            ],
            "Fit": [
              {
                "prob": 0.65968,
                "name": "straight",
                "id": "56baba63-0cad-4a5a-a97b-d09be37b99de"
              }
            ],
            "Age": [
              {
                "prob": 0.99849,
                "name": "adult",
                "id": "464f18b8-e61b-4f95-afe6-48b3a8db26ab"
              }
            ],
            "Design": [
              {
                "prob": 0.97059,
                "name": "melange",
                "id": "72a54b33-3e30-4a1c-bbaa-d05f45d0f381"
              }
            ],
            "Top Category": [
              {
                "id": "13052be8-2cc7-48e4-a782-a00d658f997c",
                "name": "Clothing",
                "prob": 1.0
              }
            ]
          },
          "_tags_map": {
            "Top Category": "Clothing",
            "Category": "Clothing/Pants",
            "Color": "grey",
            "Style": "casual",
            "Subcategory": "sweat pants",
            "Gender": "women",
            "Material": "linen",
            "Length": "long",
            "Fit": "straight",
            "Age": "adult",
            "Design": "melange"
          },
          "_tags_simple": [
            "grey",
            "sweat pants",
            "melange",
            "straight",
            "women",
            "long",
            "Clothing/Pants",
            "adult",
            "casual",
            "Clothing",
            "linen"
          ],
          "Category": "Clothing/Pants"
        }
      ]
    }
  ],
  "status": {
    "code": 200,
    "text": "OK",
    "request_id": "f9aaa4e4-740e-4668-b481-5f968d196a0d",
    "proc_id": "b98fa409-37b3-4eab-ac56-e01bea3f2fbf"
  },
  "statistics": {
    "processing time": 1.1212260818481445
  }
}