For developers to find a way to generate tools so that clients can know how to automate dog breed classification, the best option is an API, that will render accurate and efficient information.
There are many ways to classify dogs: by size, by function, by coat type, by color, etc. They can also be classified by kingdom, phylum, class, order, family and genus or species. It´s hard to figure out the identification of a dog breed considering all these parameters without a software to do the job!
However, the most common way to classify dogs is by their breed. A dog’s breed is determined by the genetic makeup of its parents and ancestors. By identifying a dog’s breed, one can learn about its history as well as its potential health issues and behavioral traits.
Luckily there´s a way to automate dog classification by using an API which renders automated service in the process of recognition and classification: Dog Breed Detector API.
What Is Dog Breed Classification API?
Dog Breed Detector API is a user-friendly application programming interface that allows to quickly and easily identify the breeds of any dogs in images. This tool works by scanning dog images and comparing them to a database of known dog breeds, which are then returned as a result.
It´s integrated with other APIs from the same vendor: Categorize Dog Breed API, Detect Dogs In Images API, Dog Breed Classification API, Dog Breed Data API, Dog Breed Detector API, etc. These features make API highly reliable, exceptionally fast, outstandingly accurate and unquestionably automated.
How To Get Started With This API
Subscribe for an account and get an API key. Then authenticate it by including the bearer token in the Authorization header. Then start making API calls in the endpoint /dogbreedidentification.
When the picture/s is/are input, the API´s 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.