Identify the color of a shovel
using AI
Below is a free classifier to identify the color of a shovel. Just upload your image, and our AI will predict what color the shovel is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-shovel", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-shovel/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-shovel/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what color the shovel is.
This pretrained image model uses a Nyckel-created dataset and has 14 labels, including Black, Blue, Brown, Gray, Green, Metallic, Multi-Color, Orange, Pink and Purple.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what color the shovel is).
Whether you're just curious or building the color of a shovel detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a shovel at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Inventory Management: This function can help businesses in construction and hardware retail by classifying shovels based on their color. Accurate identification helps managers understand inventory levels, track which colors are most popular, and optimize stock reordering.
- Marketing Personalization: Companies can use color classification to tailor marketing campaigns based on consumer preferences. By analyzing demographic data and color trends, businesses can target specific audiences with ads promoting shovels in colors that resonate with them.
- Quality Control: Manufacturers can implement this function on production lines to ensure that shovels are being painted accurately according to specifications. Identifying false colors quickly allows for immediate corrective actions, maintaining quality and reducing wastage.
- E-commerce Optimization: Online retailers can use this function to improve product categorization. By automatically classifying shovels by color, they can enhance search functionalities and help customers find the desired products more efficiently, leading to increased sales.
- Augmented Reality Applications: This image classification can be integrated into AR applications for home improvement. Users could point their devices at shovels to identify color options, facilitating better decision-making in selecting tools that match their style or project requirements.
- Visual Search Enhancement: Implementing this function in visual search engines can aid users in finding shovels that match their visual preferences. By classifying products based on color, customers can upload images and quickly receive suggestions for similar tools available for purchase.
- Sustainable Practices: Companies focused on sustainability can utilize color classification to track the use of eco-friendly materials in shovel production. By identifying non-standard colors that may indicate the use of harmful dyes, companies can ensure adherence to environmental standards.