The Feather Identification API is a cutting-edge tool designed to accurately identify bird species from images of feathers using advanced image recognition and machine learning technologies. This API provides precise classifications, making it an invaluable resource for ornithologists, researchers, conservationists, and bird enthusiasts. By analyzing feather patterns, colors, and structures, it offers reliable species identification, supporting biodiversity studies and ecological research.
To use this endpoint you must indicate a url in the parameter.
Feather Classification - Endpoint Features
| Object | Description |
|---|---|
url |
[Required] The image URL that you want to classify. |
{"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}]}
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'
| 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 Feather Classification endpoint returns data that includes the identified bird species, a confidence score for the identification, and the original image URL. This allows users to verify the identification against the provided image.
The key fields in the response data include "success" (indicating the request status), "image_url" (the URL of the submitted image), and "output" (an array containing species labels and their corresponding confidence scores).
The primary parameter for the Feather Classification endpoint is "url," which should contain the URL of the feather image to be analyzed. This parameter is essential for the API to process the image.
The response data is organized in a JSON format. It includes a top-level success indicator, the image URL, and an output array with objects that contain species labels and confidence scores, making it easy to parse and utilize.
The data used for identification is derived from extensive image datasets and machine learning models trained on various feather characteristics. This ensures a broad and accurate representation of bird species.
Typical use cases include ornithological research, birdwatching applications, educational tools for identifying bird species, and conservation efforts that require accurate species identification from feather samples.
Users can utilize the returned data by interpreting the "output" array to identify bird species and their confidence scores. Higher scores indicate more reliable identifications, guiding users in their research or conservation efforts.
Data accuracy is maintained through continuous training of machine learning models with updated datasets, validation against expert classifications, and regular quality checks to ensure reliable species identification.
To obtain your API key, you first need to sign in to your account and subscribe to the API you want to use. Once subscribed, go to your Profile, open the Subscription section, and select the specific API. Your API key will be available there and can be used to authenticate your requests.
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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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