This article deals with the best way to leverage the latest technology in dog breed classification. From human face recognition to animal identification: the latest technology at developers´ service to generate software to ease the process for common users.
In the case of dog classification, APIs give the perfect solution to help find the best dog breed for one´s needs. Dog breed identification is essential for many reasons, particularly for understanding individual breeds′ conditions, health concerns, interaction behavior, and instinct. This paper presents a solution for identifying dog breeds using images of their faces.
What Is The Best Dog Breed API?
There are many APIs available, but when it comes to dog classification, Dog Breed Classification API is a powerful tool that uses artificial intelligence to determine the breeds present in any image of a dog. Additionally, it can also provide information about each of the breeds it recognizes in mongrel dogs with a genetic percentage, for example. This is an accurate and reliable way to determine the breeds present in any dog. This means that it also furnishes information on how each of these breeds is related.
The proposed method applies a deep learning-based approach to recognize their breeds. The method works with AI and Deep Learning to classify dog breeds, as developers well know.
Image recognition and classification have been successfully applied in various domains, such as face recognition and scene understanding for autonomous driving. At present, human face identification is successfully used for authentication and security purposes in many applications. Therefore, the success of the attempts to extend studies from human to animal recognition. In particular, dogs are one of the most common animals. Since there are more than 140 dog breeds, dog breed recognition can be an essential task to provide proper training and health treatment. Previously, dog breed recognition used to be done by human experts. However, some dog breeds might be challenging to evaluate due to the lack of experts and the difficulty of the breeds’ patterns themselves. It also takes time for each evaluation. Then the need to resort to a dog classification API.
How To Use This API?
First of all, subscribe at www.zylalabs.com and an API key will be provided to make calls to the Dog Breed Classification API endpoint. After authenticating the unique API key, then the image URL is to be analyzed -either from a photo gallery in a computer or from an online file storage service- then the picture will be contrasted to the database. The API will examine the image and give all of the information that it finds in less than a minute! The response will look like this:
{
"results": [
{
"score": 0.9873785376548767,
"label": "German shepherd, German shepherd dog, German police dog, alsatian"
},
{
"score": 0.0025157087948173285,
"label": "kelpie"
},
{
"score": 0.0009707494755275548,
"label": "malinois"
},
{
"score": 0.0008986197062768042,
"label": "dingo, warrigal, warragal, Canis dingo"
},
{
"score": 0.0005087173776701093,
"label": "bloodhound, sleuthhound"
}
]
}
Also published on Medium.