Cat Breed Recognition API is a smart and efficient solution for recognizing cat breeds from images. Designed to deliver accurate results, it utilizes advanced artificial intelligence and cutting-edge computer vision to classify a wide variety of feline breeds quickly and automatically.
The API’s powerful recognition engine is trained on a rich and diverse dataset, encompassing cats of different breeds, coat patterns, sizes, and distinctive physical traits. This comprehensive training allows the system to identify even subtle differences between similar breeds with high precision.
To use this endpoint you must indicate a url in the parameter.
Classification - Endpoint Features
| Object | Description |
|---|---|
url |
[Required] The image URL that you want to classify. |
{"success":true,"image_url":"https://cdn-ilbchkb.nitrocdn.com/WllOMUTxoJzqhbExyNPkiIfhtSpngzPM/assets/images/optimized/rev-6eb886d/sustainablecats.com/wp-content/uploads/2024/05/MAine-Coon-Giant.jpg","output":[{"label":"Maine Coon","score":0.95}]}
curl --location --request POST 'https://zylalabs.com/api/6487/cat+breed+recognition+api/9349/classification?url=https://cdn-ilbchkb.nitrocdn.com/WllOMUTxoJzqhbExyNPkiIfhtSpngzPM/assets/images/optimized/rev-6eb886d/sustainablecats.com/wp-content/uploads/2024/05/MAine-Coon-Giant.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. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Classification 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 Classification endpoint provides information on identified bird species, including their names and confidence scores based on image analysis. It focuses on visual characteristics for accurate classification.
The Classification endpoint requires a single parameter: the image URL. Users must provide a valid URL pointing to the bird image 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.
Typical use cases include wildlife research, birdwatching applications, educational tools, and conservation efforts. Users can identify species from images for studies or to promote awareness of bird diversity.
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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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