VOGUE_BJ Computer Vision Dataset

byDEYANTask:
Object Detection
License:CC BY 4.0107 views

About VOGUE_BJ Dataset

Here are a few use cases for this project:

  1. Fashion Trend Analysis: The "VOGUE_BJ" model can be used in identifying trends in fashion across different periods and styles by prominent designers. For instance, it can help track the evolution of designs by Gucci or Prada from 2018 to 2022.

  2. Fashion Education and Research: This model can aid scholars and students studying Fashion Design to explore different styles introduced by major designers, their collaborations with stylists, and how their designs have been portrayed by various photographers over time.

  3. Fashion Styling Assistance: For style-curating platforms, this model can assist users in finding styles by specific stylists—for example, clothing recommendations styled by Stylist_Dena_Giannini or Stylist_Edward_Enninful.

  4. Insights for Fashion Houses: Fashion houses such as Balenciaga or Dior can use this model to analyze the visual presence of their designs in various issues of Vogue, as well as to study the photographic styles and models they have frequently collaborated with.

  5. Image Repurposing: Stock image companies could use this computer vision model to catalog and repurpose images based on the designers, models, photographers, and issue dates identified from the dataset. For example, they could quickly locate all images from the Issue_May_20 from Designer_Gucci, photographed by Craig_McDean.

Use Free Designer_ Nili_Lotan, Designer_16_Arlington_And_Noel_Stewart and Designer_16Arlington Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "Designer_ Nili_Lotan, Designer_16_Arlington_And_Noel_Stewart, Designer_16Arlington, Designer_3_Moncler_Grenoble, Designer_47_Brand"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ vogue_bj_dataset,
  title = { VOGUE_BJ Dataset },
  type = { Open Source Dataset },
  author = { DEYAN },
  howpublished = { \url{ https://universe.roboflow.com/deyan/vogue_bj } },
  url = { https://universe.roboflow.com/deyan/vogue_bj },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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