The dog breeding process might be hard and complicate; there are tools to simplify it. An API is the best choice to simplify the process, especially for developers who have to generate and optimize software so that common users can find ease of use and accuracy.
Breeding dogs can be a difficult and time-consuming process. It can take a lot of time and effort to find the right dogs for a breeding program. But there are some tools that can make the process easier and more efficient. One of these tools is an API, to automate the classification procedure.
Dogs are classified into breeds, and these breeds are classified into types or groups according to size, shape, function and temperament. For instance, it makes sense that dogs bred to be companions are small and fluffy, while sledge dogs will be strongly built and have a thick double coat.
There are many different types of APIs, but one that can be useful for dog breeders is Dog Breed Information API. This API allows to quickly and easily retrieve information about a dog’s lineage, with specific data about purposes, peculiar behaviors, health features and training strategies of every breed. This information can be invaluable when it comes to breeding dogs, as it can help avoid breeding dogs with certain genetic problems.
How Can A Genetic Lineage API Help?
There are a number of ways that the above mentioned API can help with a dog breeding program. First, it can help track the lineage of dogs, which can be important for breeding purposes. Second, it can help identify any genetic problems that may be present in dogs’ lineage. And third, it can help find other dogs with similar genetics to the ones in use, which can be useful for breeders who are trying to obtain specific traits in their dogs.
Dog breed identification is essential for many reasons, particularly for understanding individual breeds′ conditions, health concerns, interaction behavior, and natural instinct. This is a solution for identifying dog breeds using the images of their faces. The proposed method applies a deep learning based approach in order to recognize their breeds. The method begins with a transfer learning by retraining existing pre-trained convolutional neural networks (CNNs) on the public dog breed dataset. Then, the image augmentation with various settings is also applied on the training dataset, in order to improve the classification performance. The proposed method is evaluated using three different CNNs with various augmentation settings and comprehensive experimental comparisons. The proposed model achieves a promising accuracy of 89.92% on the published dataset with 133 dog breeds.
How Does Dog Breed Information API Work?
The best way to use Dog Breed Information API is by following these steps: sign up for an account on the Zyla Labs website; then get the assigned unique API access key to access the API endpoint. To authenticate with the API, include the bearer token in the Authorization header. Finally input the URL of the picture/s of the breeds to find out about.
In seconds the software will respond, and 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.