Identificación de Plumas. API

La API de Identificación de Plumas es una herramienta poderosa diseñada para identificar con precisión especies de aves a partir de imágenes de plumas utilizando tecnologías avanzadas de reconocimiento de imágenes y aprendizaje automático.

La API de Identificación de Plumas es una herramienta de vanguardia diseñada para identificar con precisión especies de aves a partir de imágenes de plumas utilizando tecnologías avanzadas de reconocimiento de imágenes y aprendizaje automático. Esta API proporciona clasificaciones precisas, lo que la convierte en un recurso invaluable para ornitólogos, investigadores, conservacionistas y entusiastas de las aves. Al analizar patrones, colores y estructuras de las plumas, ofrece una identificación de especies confiable, apoyando estudios de biodiversidad e investigación ecológica.

Documentación de la API

Endpoints


Para utilizar este endpoint, debe indicar una URL en el parámetro.



                                                                            
POST https://zylalabs.com/api/6360/feather+identification+api/9121/feather+classification
                                                                            
                                                                        

Clasificación de plumas. - Características del Endpoint

Objeto Descripción
url [Requerido] The image URL that you want to classify.
Probar Endpoint

RESPUESTA DE EJEMPLO DE LA API

       
                                                                                                        
                                                                                                                                                                                                                            {"success":true,"image_url":"https://today.usc.edu/wp-content/uploads/2019/11/Taiwan-Blue-Magpie-web-1280x720.jpg","output":[{"label":"Taiwan Blue Magpie","score":0.95}]}
                                                                                                                                                                                                                    
                                                                                                    

Feather Classification - CÓDIGOS DE EJEMPLO


curl --location --request POST 'https://zylalabs.com/api/6360/feather+identification+api/9121/feather+classification?url=https://today.usc.edu/wp-content/uploads/2019/11/Taiwan-Blue-Magpie-web-1280x720.jpg' --header 'Authorization: Bearer YOUR_API_KEY' 


    

Clave de Acceso a la API y Autenticación

Después de registrarte, a cada desarrollador se le asigna una clave de acceso a la API personal, una combinación única de letras y dígitos proporcionada para acceder a nuestro endpoint de la API. Para autenticarte con el Identificación de Plumas. API simplemente incluye tu token de portador en el encabezado de Autorización.
Encabezados
Encabezado Descripción
Autorización [Requerido] Debería ser Bearer access_key. Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito.

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Identificación de Plumas. API FAQs

El punto final de clasificación de plumas devuelve datos que incluyen la especie de ave identificada, una puntuación de confianza para la identificación y la URL de la imagen original. Esto permite a los usuarios verificar la identificación en función de la imagen proporcionada.

Los campos clave en los datos de respuesta incluyen "success" (indicando el estado de la solicitud), "image_url" (la URL de la imagen enviada) y "output" (un array que contiene etiquetas de especies y sus respectivos puntajes de confianza).

El parámetro principal para el endpoint de Clasificación de Plumas es "url," que debe contener la URL de la imagen de la pluma que se va a analizar. Este parámetro es esencial para que la API procese la imagen.

Los datos de respuesta están organizados en un formato JSON. Incluye un indicador de éxito de nivel superior, la URL de la imagen y un array de salida con objetos que contienen etiquetas de especies y puntajes de confianza, lo que facilita su análisis y utilización.

Los datos utilizados para la identificación se derivan de amplios conjuntos de datos de imágenes y modelos de aprendizaje automático entrenados en varias características de plumas. Esto garantiza una representación amplia y precisa de las especies de aves.

Los casos de uso típicos incluyen la investigación ornithológica, aplicaciones de observación de aves, herramientas educativas para identificar especies de aves y esfuerzos de conservación que requieren una identificación precisa de especies a partir de muestras de plumas.

Los usuarios pueden utilizar los datos devueltos interpretando el array "output" para identificar especies de aves y sus puntajes de confianza. Los puntajes más altos indican identificaciones más confiables, guiando a los usuarios en su investigación o esfuerzos de conservación.

La precisión de los datos se mantiene a través de la capacitación continua de modelos de aprendizaje automático con conjuntos de datos actualizados, validación contra clasificaciones de expertos y controles de calidad regulares para garantizar una identificación confiable de especies.

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