Identify dog coat condition using AI

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

dog coat condition identifier

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Get started

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

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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Clean, Coarse, Dirty, Dull, Flat, Lifted, Matted, Oil-Coated, Overgrown and Rough.

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

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

Recommended Classifiers

Need to identify dog coat condition at scale?

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



  • Pet Health Monitoring: This function can be integrated into veterinary clinics' diagnostic tools to assess the condition of a dog's coat as an indicator of overall health. By identifying issues such as alopecia, dermatitis, or parasites, veterinarians can provide timely interventions that enhance both pet health and client satisfaction.

  • Pet Grooming Services: Grooming salons can use this function to evaluate the coat condition of dogs upon arrival, allowing groomers to tailor their services based on the specific needs of each pet. This ensures that grooming treatments are effective and safe, leading to improved customer trust and repeat business.

  • Dog Adoption Agencies: Animal shelters and rescue organizations can utilize this technology to quickly assess the coat condition of dogs in their care. This information helps facilitate appropriate care and fosters transparency about the health of pets available for adoption, thus encouraging potential adopters.

  • E-commerce for Pet Products: Online pet supply retailers can implement this function to provide personalized product recommendations based on the coat condition of a dog's photo uploaded by the owner. This tailored approach can enhance customer engagement and increase sales of targeted grooming and health products.

  • Dog Breeding Evaluation: Breeders can use this classification function to assess the coat quality of their animals, which is often a critical factor in determining breeding potential. By gaining insights into coat health, breeders can make more informed decisions to improve the overall lineage quality.

  • Insurance Claim Processing: Pet insurance companies can leverage this function to expedite claims related to skin conditions or grooming services. By objectively assessing the dog's coat condition, insurers can improve their claim verification processes and reduce fraud.

  • Dog Training Programs: Dog trainers can incorporate this function to evaluate the readiness of dogs for training based on their overall coat condition. Dogs with healthy coats often reflect better overall health, which may correlate with higher energy levels and willingness to engage in training activities.

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