Identify cat coat condition using AI

Below is a free classifier to identify cat coat condition. Just upload your image, and our AI will predict the condition of a cat's coat - in just seconds.

cat coat condition identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("cat-coat-condition", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/cat-coat-condition/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/cat-coat-condition/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the condition of a cat's coat.

This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Bristly, Clean, Clumpy, Course, Dirty, Dry, Dull, Fluffy, Greasy and Healthy.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the condition of a cat's coat).

Whether you're just curious or building cat coat condition detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify cat coat condition at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Pet Health Monitoring: The 'cat coat condition' identifier can be integrated into pet health monitoring apps to assess the health of a cat based on the quality of its coat. By analyzing images, the system can flag potential health issues like malnutrition or skin diseases, prompting timely veterinary consultations.

  • Animal Shelter Assessments: Animal shelters can use the classification function to evaluate the condition of coats in cats that arrive at the shelter. This assessment helps prioritize care for cats needing immediate attention and informs potential adopters about the animals' health status.

  • Pet Grooming Services: Grooming salons can utilize the coat condition identifier to offer tailored services to clients based on their cats' specific needs. By recommending appropriate grooming treatments, salons can improve service quality and enhance customer satisfaction.

  • Veterinary Diagnostics: Veterinarians can employ the identifier to assist in diagnosing underlying health problems in cats. By using coat condition data as one of the diagnostic tools, vets can make more informed decisions regarding treatment and care.

  • E-commerce for Pet Products: Online pet product retailers can integrate the coat condition classifier to recommend specific grooming or dietary products based on the user's cat's coat status. This personalized shopping experience can boost sales and increase customer loyalty.

  • Cat Breeder Evaluations: Cat breeders can use the coat condition identifier to assess and improve the breeding stock's overall health and appearance. By monitoring coat condition over time, breeders can make better-informed decisions about mating pairs and overall breeding practices.

  • Research on Feline Health: Researchers in veterinary science can utilize the coat condition identifier to gather data on the correlation between coat health and various health factors in cats. This information can contribute to advancements in feline health studies and the development of better preventive care strategies.

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