For developers to find out how to stay ahead of the curve with a dog breed classification API, there`s relevant information in the text herewith. Find the best starting point for further developments to ease the way for common users.
The pet industry is booming. In the U.S., spending on pets has grown from $50 billion in 2012 to $60 billion in 2018. In the United Kingdom, it has gone from £11 billion in 2014 to £12.3 billion in 2019. And in Australia, it has risen from AU$23 billion in 2015 to AU$29 billion in 2020.
Pet owners are a growing market segment, and they are more demanding than ever before. They are more likely to purchase premium products for their pets and spend more on their care than on themselves. This concern leads ordinary users to resort to a dog classification API.
All of these figures indicate that the pet industry is growing rapidly. This growth is evident in the variety of pet businesses that have emerged in recent years. Several businesses have started offering niche services, such as dog daycare, dog walking, and dog grooming. The pet industry is also becoming more competitive as a result of all of this growth. A business that can differentiate itself will be able to stand out from the pack and increase its market share. The best way to do it is by offering a service that no one else can offer, and by using a pet breed identification API that will give you an edge over the competition: Dog Breed Classification API.
Why Use Dog Breed Classification API?
The proposed method applies a deep learning-based approach to recognize their breeds. The method uses AI and Deep Learning for dog classification, as developers well know.
The results are delivered quickly and precisely by this user-friendly and reliable dog breed API. Also, if the intention is to find a way to differentiate one´s business from the competition, using Dog Breed Classification API will give an edge over other businesses because it will allow to offer clients a unique service that no one else can offer.
How To Use This API?
First, sign up at www.zylalabs.com and get a unique API key, i.e. each developer is given a unique combination of letters and digits that allows them to access the desired API endpoint. The authorization token provided includes it in the authorization header to start making calls after authenticating it.
Presently enter the URL of the image you wish to analyze into the input field provided. The image must be in PNG format and less than 16. The response will show in seconds and it 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.