Cat Breed Classification API

FREEMIUM
By Zyla Labs | Updated месяц назад | Visual Recognition
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6.8 / 10

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2,436ms

Service Level

100%

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README

The Cat Breed Classification API is a machine learning-based API that allows users to classify cat breeds from images. The API utilizes a pre-trained deep neural network model to analyze the features of an image and predict the breed of the cat present in the image. The API is easy to use and can be integrated into a variety of applications such as mobile apps, websites, and software. The API accepts image inputs in the form of a URL and returns a JSON response containing the predicted breed of the cat, as well as a confidence score indicating the level of certainty of the prediction. The API supports the classification of different cat breeds, providing users with a wide range of options for identifying and classifying cats.

The API can be accessed using a simple RESTful API call, making it easy to implement in any programming language. Additionally, The API also provides the feature of Identifying the cat breeds with the help of the image provided and returns a list of breeds in ranked order with the probability of each breed.

One of the key benefits of the Cat Breed Classification API is its accuracy in classifying cat breeds. The model is trained on a large dataset of cat images and is constantly updated to improve its performance. This ensures that users receive the most accurate predictions possible.

The Cat Breed Classification API is a useful tool for anyone looking to add cat breed identification capabilities to their application. Whether you’re a pet store looking to create a cat breed identification feature on your website, or a veterinarian looking to create an app to help identify cats more easily, this API can help. It’s also great for cat enthusiasts who want to know more about their feline friends.

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