Identify pictionary category
using AI
Below is a free classifier to identify pictionary category. Just upload your image, and our AI will predict what category the drawing belongs to - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("pictionary-category", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/pictionary-category/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/pictionary-category/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what category the drawing belongs to.
This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Action, Animal, Art, Building, Clothing, Emotion, Food, Furniture, Holiday and Mineral.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what category the drawing belongs to).
Whether you're just curious or building pictionary category detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify pictionary category at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Art Curation: Museums and galleries can utilize the false image classification function to automatically categorize pieces of art according to established Pictionary categories. This can enhance the organization of exhibits and provide visitors with a more engaging experience by easily identifying thematic collections.
- Game Development: Game developers can integrate the classification function into their applications to verify player-drawn images during Pictionary-style games. This will ensure that drawn representations match predefined categories, allowing for a smoother gameplay experience and increased user satisfaction.
- Educational Tools: Educational platforms can implement this function to assist students in learning different categories effectively through drawing exercises. By providing immediate feedback on whether their drawn objects fall under specific categories, students can enhance their understanding and retention of topics.
- Content Moderation: Social media platforms can leverage the false image classification feature to filter and categorize user-generated drawings. This can help in setting community guidelines, ensuring that content aligns with acceptable categories while maintaining a vibrant and diverse user base.
- Marketing Campaigns: Brands can use this function to analyze user-generated content in relation to their marketing campaigns. By identifying drawings that fit their brand themes or Pictionary categories, they can curate targeted content for promotional purposes and engage with their audience more effectively.
- Art Therapy: Therapists can employ the classification function in art therapy sessions to help clients express themselves through drawing. By categorizing the images drawn by clients, therapists can gain insights into their emotional states and facilitate better discussions around the themes represented in their artwork.
- E-commerce for Art Supplies: E-commerce platforms specializing in art supplies can implement this function to recommend products based on user drawings. By identifying Pictionary categories, the platform can suggest relevant tools or materials, thereby enhancing the shopping experience and boosting sales.