Identify the color of a blouse
using AI
Below is a free classifier to identify the color of a blouse. Just upload your image, and our AI will predict the color of a blouse it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-blouse", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-blouse/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/the-color-of-a-blouse/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the color of a blouse it is.
This pretrained image model uses a Nyckel-created dataset and has 51 labels, including Aqua, Beige, Black, Blue, Brown, Burgundy, Charcoal, Chestnut, Cobalt and Coral.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the color of a blouse it is).
Whether you're just curious or building the color of a blouse detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a blouse at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- E-commerce Product Filtering: This function can be integrated into e-commerce platforms to allow customers to filter blouses by color. By automatically identifying and tagging the colors of blouses in databases, users can quickly find garments that match their preferences without manual searches.
- Inventory Management: Retailers can utilize this function to manage their inventory by monitoring the color distribution of blouses in stock. This allows for optimized reordering based on color trends and helps to ensure a balanced selection for customers.
- Virtual Try-on Applications: Fashion retailers can enhance their virtual try-on applications by incorporating this color classifier. By analyzing the color of customer-uploaded images, the application can suggest blouses that best match the user's style and preferences.
- Personalized Marketing: Businesses can personalize their marketing efforts by analyzing consumer purchase data and using color identification to recommend complementary blouse colors. This targeted approach can lead to higher engagement and conversion rates in marketing campaigns.
- Trend Analysis: Fashion analysts can use the color identification function to monitor emerging trends in blouse colors across various social media platforms. This data can inform design teams about popular color palettes for upcoming collections, ensuring their products stay relevant.
- Style Recommendation Systems: Fashion apps can leverage this function to enhance their style recommendation algorithms by accurately identifying blouse colors. By cross-referencing color data with user preferences, the apps can provide suggestions that are more likely to resonate with users.
- Quality Control in Manufacturing: Clothing manufacturers can implement this function in their quality control processes to ensure that produced blouses meet the specified color standards. By automating color verification, manufacturers can reduce errors and improve overall product quality before items reach consumers.