The Specie Identification API is an artificial intelligence-based solution that enables automatic recognition of animals in images by simply providing a URL. It is designed to be simple to use, highly accurate and capable of identifying a wide variety of species in different environments and image qualities.
This API uses advanced computer vision models trained on millions of labeled images, allowing it to deliver reliable results even in challenging conditions such as variable natural lighting, complex backgrounds or partially visible animals.
To use this endpoint you must indicate a url in the parameter.
Animal Identification - Endpoint Features
| Object | Description |
|---|---|
url |
[Required] The image URL that you want to classify. |
{"success":true,"image_url":"https://monkeyworlds.com/wp-content/uploads/human-monkey.webp","output":[{"label":"monkey","score":0.95}]}
curl --location --request POST 'https://zylalabs.com/api/6627/specie+identification+api/9727/animal+identification?url=https://monkeyworlds.com/wp-content/uploads/human-monkey.webp' --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 Animal Identification endpoint returns a JSON object containing a success status, the image URL, and an array of classification results. Each result includes a cat species label and a confidence score indicating the accuracy of the classification.
The key fields in the response data include "success" (boolean), "image_url" (string), and "output" (array). The "output" array contains objects with "label" (species name) and "score" (confidence level).
The response data is structured as a JSON object. It starts with a success indicator, followed by the image URL, and concludes with an array of classification results, each detailing the identified species and its confidence score.
The Animal Identification endpoint requires a single parameter: the image URL. Users must provide a valid URL pointing to the image of the animal they wish to classify.
Users can utilize the returned data by interpreting the "label" for species identification and the "score" to assess the reliability of the classification. Higher scores indicate greater confidence in the identification.
Data accuracy is maintained through advanced machine learning algorithms that analyze visual features of cats. Continuous training with diverse datasets helps improve the model's performance and reliability.
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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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