Identify if tofu is moldy
using AI
Below is a free classifier to identify if tofu is moldy. Just upload your image, and our AI will predict if tofu is moldy - 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("if-tofu-is-moldy", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-tofu-is-moldy/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/if-tofu-is-moldy/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if tofu is moldy.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Tofu Is Fresh and Tofu Is Moldy.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if tofu is moldy).
Whether you're just curious or building if tofu is moldy detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if tofu is moldy at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Food Manufacturing: This function can be integrated into the quality assurance processes of tofu production facilities. By automatically identifying moldy tofu, manufacturers can reduce waste, ensure safety standards, and maintain product quality.
- Grocery Store Inventory Management: Retailers can implement this classification function to monitor tofu stock in real-time. By identifying moldy tofu on shelves, stores can take proactive measures, reducing the risk of selling spoiled products and enhancing customer satisfaction.
- Home Food Safety App: A mobile application can utilize this function to help consumers assess the safety of their tofu. Users can take a picture of their tofu and receive instant feedback on its edibility, promoting food safety and reducing health risks.
- Food Delivery Services: This function can be applied to ensure that tofu being delivered is fresh and safe for consumption. Delivery personnel can quickly check for mold before dispatch, enhancing food safety and improving customer confidence in the service.
- Restaurant Food Quality Monitoring: Restaurants can use this function to inspect tofu used in their dishes, ensuring that only fresh ingredients are served. This can help maintain high standards of food safety and quality, ultimately improving customer experience and brand reputation.
- Tofu Subscription Services: Subscription meal kits featuring tofu can leverage this technology to guarantee fresh products. By implementing mold detection, companies can ensure that customers receive safe, high-quality ingredients every time, reducing returns and enhancing satisfaction.
- Research and Development in Food Technology: Researchers working on plant-based food innovations can utilize this function to study the shelf life and spoilage of tofu. By accurately classifying spoilage, developers can improve preservation techniques and enhance product formulations for better consumer safety.