{"data":{"image_quality":70.0645,"body_part":"unknown","results_english":{"actinic_keratosis":0.1105,"acne":0.093,"herpes":0.7007},"image_type":"skin_lesion"},"error_code":0,"error_detail":{"status_code":200,"code":"","code_message":"","message":""},"log_id":"D67EA240-5B53-52F1-85BB-94F4349BCD8C","request_id":"D67EA240-5B53-52F1-85BB-94F4349BCD8C"}
curl --location 'https://zylalabs.com/api/4440/detect+skin+disease+api/5453/detect+skin+disease' \
--header 'Content-Type: application/json' \
--form 'image=@"FILE_PATH"'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Detect Skin Disease API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
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Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
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No long-term commitment. Upgrade, downgrade, or cancel anytime.
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The Detect Skin Disease API leverages advanced machine learning algorithms to classify and predict various skin diseases from natural skin images. Ideal for telemedicine, dermatology applications, and health platforms, this API offers a powerful tool for early detection and diagnosis. By analyzing input images, the API can identify and categorize a wide range of skin conditions, providing healthcare professionals and users with valuable insights into skin health. Enhance your medical applications, improve diagnostic accuracy, and streamline patient care with our high-performance, scalable, and easy-to-integrate API. The Detect Skin Disease API is designed to meet the rigorous demands of modern healthcare, ensuring accurate and reliable skin disease predictions.
The Detect Skin Disease API leverages advanced machine learning algorithms to classify and predict various skin diseases from natural skin images. Ideal for telemedicine, dermatology applications, and health platforms, this API offers a powerful tool for early detection and diagnosis. By analyzing input images, the API can identify and categorize a wide range of skin conditions, providing healthcare professionals and users with valuable insights into skin health. Enhance your medical applications, improve diagnostic accuracy, and streamline patient care with our high-performance, scalable, and easy-to-integrate API.
Medical Diagnosis: Assisting dermatologists and healthcare professionals in identifying and diagnosing various skin conditions. Telemedicine: Enabling remote consultations by allowing patients to upload images of skin abnormalities for analysis by medical professionals. Healthcare Apps: Integrating skin disease detection features into mobile health apps for self-assessment and early detection. Cosmetics Industry: Developing skincare products targeted towards specific skin conditions based on analysis of user skin images. Preventive Care: Facilitating early detection and intervention for skin diseases, leading to better outcomes and reduced healthcare costs.
Accuracy: Utilizes advanced algorithms to accurately identify and classify different skin diseases, aiding in precise diagnosis. Scalability: Can analyze large volumes of skin images efficiently, making it suitable for widespread use in telemedicine and public health initiatives. Cost-Effectiveness: Offers a cost-effective solution for skin disease detection compared to traditional methods such as biopsies or in-person consultations. Educational Resources: Provides educational resources and information about skin diseases, empowering individuals to take proactive steps towards their skin health.
Dermatologists and Healthcare Professionals: Professionals who specialize in diagnosing and treating skin conditions, seeking advanced tools to aid in accurate diagnosis. Patients and Caregivers: Individuals concerned about their skin health or that of their loved ones, seeking reliable and accessible tools for early detection and monitoring of skin diseases. Health-Tech Developers and Entrepreneurs: Innovators in the healthcare technology sector who are developing solutions for remote diagnosis, telemedicine, and personalized healthcare services.
The API returns a structured response containing information about the analyzed skin image, including the body part examined, image quality score, image type, and predicted skin disease classifications with associated probabilities.
Key fields include `body_part` (location of the lesion), `image_quality` (score indicating clarity), `image_type` (classification of the image), and `results_english` (predicted diseases with their probabilities).
The response is structured as a JSON object with fields for request metadata, error details, and a `data` object that contains the analysis results, including disease predictions and image assessment metrics.
The primary parameter is `image`, which must be a file in JPG or PNG format, with a maximum size of 20 MB and resolution under 1280x1280px. No additional parameters are required for the request.
Users can analyze the `results_english` object to identify potential skin diseases and their probabilities, allowing healthcare professionals to prioritize further examination or treatment based on the likelihood of each condition.
The API employs advanced machine learning algorithms trained on diverse datasets of skin images, ensuring high accuracy in disease classification. Continuous updates and model training help maintain data quality.
Typical use cases include assisting dermatologists in diagnosing skin conditions, enabling telemedicine consultations, and integrating skin disease detection into health apps for user self-assessment.
Users should check the `error_code` and `error_msg` fields for any issues during processing. If results are empty, it may indicate an invalid image or a lack of detectable conditions, prompting users to review their input.
To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
You can monitor your API usage through the response headers included with every request:
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