The Canine Classify API is a cutting-edge tool designed to accurately identify dog breeds from images using advanced image recognition and machine learning technologies. This API provides highly accurate classifications, helping users determine a dog's breed with confidence. Whether for pet owners, veterinarians, researchers or developers, the Canine Classify API offers
To use this endpoint you must indicate a url in the parameter.
Classify - Endpoint Features
| Object | Description |
|---|---|
url |
[Required] The image URL that you want to classify. |
{"success":true,"image_url":"https://comportamientoanimal.com/wp-content/uploads/2018/11/8-6.jpg","output":[{"label":"Belgian Shepherd Dog","score":0.95}]}
curl --location --request POST 'https://zylalabs.com/api/6359/canine+classify+api/9120/classify?url=https://comportamientoanimal.com/wp-content/uploads/2018/11/8-6.jpg' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
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The Classify endpoint returns a JSON object containing a success status, the image URL, and an array of breed classifications. Each classification includes a label (the identified breed) and a score (the confidence level of the classification).
The key fields in the response data are "success" (boolean), "image_url" (string), and "output" (array). The "output" array contains objects with "label" (breed name) and "score" (confidence score).
The response data is organized in a JSON format. It starts with a success indicator, followed by the image URL, and concludes with an array of breed classifications, each containing a label and score.
The Classify endpoint requires a single parameter: "url," which should be the URL of the image to be analyzed. This parameter is essential for the API to process the image and return breed classifications.
Data accuracy is maintained through advanced image recognition algorithms and machine learning models trained on a diverse dataset of dog breeds. Continuous updates and training improve classification precision over time.
Typical use cases include pet owners wanting to identify their dog's breed, veterinarians needing breed information for health assessments, and developers integrating breed identification into applications or services.
Users can utilize the returned data by interpreting the "label" for breed identification and the "score" to assess confidence. For example, a score of 0.95 indicates high confidence in the classification, guiding decisions based on breed characteristics.
If users receive partial or empty results, they should check the image URL for accessibility and ensure the image is clear and contains a dog. If issues persist, consider trying different images or contacting support for assistance.
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The free trial ends when you reach 50 API requests or after 7 days, whichever comes first.
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Yes, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost, so you can test our APIs without any commitment.
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