Pass the image file that you want to recognize the object from. Receive the label and confidence score.
Security Surveillance: The API can be utilized in security systems to monitor and analyze live video feeds, identifying potential threats such as unauthorized access, suspicious objects, or unusual activities, enhancing real-time security response.
Autonomous Driving: In self-driving cars, the API plays a crucial role in identifying and classifying objects on the road, such as pedestrians, other vehicles, traffic signs, and obstacles, ensuring safe and efficient navigation.
E-Commerce: Online retailers can use the API to automatically tag and categorize products in images, improving search functionality, product recommendations, and inventory management by recognizing items and their attributes.
Healthcare: In medical imaging, the API aids in diagnosing conditions by detecting anomalies in X-rays, MRIs, or CT scans, such as tumors, fractures, or other medical conditions, thus supporting accurate and timely diagnosis.
Augmented Reality (AR): The API enhances AR applications by detecting and tracking objects in real-time, enabling interactive experiences such as virtual object placement, real-time information overlays, and immersive gaming environments.
Besides the number of API calls, there is no other limitation.
[{"label": "dog", "confidence": "0.82", "bounding_box": {"x1": "29", "y1": "200", "x2": "886", "y2": "847"}}]
curl --location 'https://zylalabs.com/api/4496/object+analysis+api/5517/detection' \
--header 'Content-Type: application/json' \
--form 'image=@"FILE_PATH"'
| 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 API supports various image formats, including JPEG, PNG, BMP, and TIFF. It can process images of different resolutions, though higher quality images may yield more accurate results.
The API is designed to detect and recognize multiple objects within a single image. It returns bounding boxes for each identified object along with the corresponding classification labels and confidence scores.
The API delivers high accuracy in object detection, with precision and recall metrics varying based on the complexity of the scene and the quality of the input image. Regular updates and model improvements enhance performance over time.
The response time depends on the image size and the number of objects within the image. Generally, the API is optimized for low latency, providing results within a few hundred milliseconds for standard image sizes.
While the API comes pre-trained on large, diverse datasets, customization options are available. Users can fine-tune the model on their own datasets to improve accuracy for specific object categories relevant to their application.
The Detection endpoint returns a list of detected objects within the input image. Each object is accompanied by its classification label, confidence score, and bounding box coordinates, providing detailed insights into the visual content.
The key fields in the response data include "label" (the identified object), "confidence" (the likelihood of the detection being accurate), and "bounding_box" (coordinates defining the object's location in the image).
The response data is organized as a JSON array, where each element represents a detected object. Each object contains fields for the label, confidence score, and bounding box, allowing for easy parsing and analysis.
The Detection endpoint primarily accepts an image file as input. Users can customize their requests by adjusting the image quality and format, which can influence detection accuracy and performance.
Users can utilize the returned data by analyzing the confidence scores to filter out low-confidence detections, using bounding box coordinates for visual overlays, and employing labels for categorization or further processing in applications.
Typical use cases include security surveillance for threat detection, autonomous driving for obstacle recognition, e-commerce for product tagging, and healthcare for identifying anomalies in medical images.
Data accuracy is maintained through continuous model training on diverse datasets, regular updates, and performance evaluations. This ensures that the API adapts to new object categories and improves detection capabilities over time.
If the response contains partial or empty results, users should check the input image quality and ensure it meets the API's requirements. Additionally, they can refine their image selection or preprocessing methods to enhance detection outcomes.
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:
x-zyla-api-calls-monthly-used: Shows the total number of API requests you have used during the current billing period.
x-zyla-api-calls-monthly-remaining: Shows the number of API requests you have remaining for the current billing period.
Yes, you can cancel your subscription at any time. Simply go to the Pricing section of the API you're subscribed to and click the "Unsubscribe" button.
Please note that upgrades, downgrades, and cancellations take effect immediately. Once your subscription is canceled, access to the service will end immediately, regardless of any remaining API calls in your quota.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
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