Identify color vs black and white illustrations
using AI
Below is a free classifier to identify color vs black and white illustrations. Just upload your image, and our AI will predict if the illustration is in color or black and white - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("color-vs-black-and-white-illustrations-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/color-vs-black-and-white-illustrations-identifier/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/color-vs-black-and-white-illustrations-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the illustration is in color or black and white.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Color Illustrations and Black And White Illustrations.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the illustration is in color or black and white).
Whether you're just curious or building color vs black and white illustrations detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify color vs black and white illustrations at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Digital Art Curation: This function can be utilized by online art marketplaces to automatically categorize illustrations as either color or black and white. This aids users in filtering artwork based on their preferences, enhancing the overall shopping experience.
- Content Management System Enhancement: Publishers can integrate this classification functionality in their content management systems to streamline the organization of visual assets. By identifying images, editors can efficiently manage the display of illustrations according to the desired style, improving content consistency.
- Social Media Marketing: Marketing teams can leverage this functionality to analyze engagement trends between color and black and white illustrations used in social media campaigns. This data can inform future design choices, tailoring content to resonate more effectively with target audiences.
- Educational Material Development: Educational institutions can use the identifier to classify and curate images for e-learning materials. This ensures that resource materials match specific pedagogical approaches, such as emphasizing mood or tone through color versus black and white imagery.
- Automated Graphic Design: Graphic design software can incorporate this binary classification to suggest color or black and white illustrations based on user project requirements. This feature can expedite the design process, helping users maintain style coherence while also saving time.
- Historical Document Preservation: Archival organizations can utilize this classification tool to digitize and categorize historical documents and illustrations. It aids researchers and historians in extracting and analyzing visual materials from certain periods, facilitating better preservation and study of art and culture.
- E-commerce Personalization: E-commerce platforms can implement this function to tailor product recommendations or advertisements based on user preferences for color or black and white visuals. By enhancing personalization efforts, platforms can potentially increase conversion rates through targeted outreach.