Object Recognition API

Recognize any objects in a given image. Get the positions of the objects and the label.

About the API:

Object detection is a computer vision technique that allows us to identify and locate objects in an image or video. With this kind of identification and localization, object detection can be used to count objects in a scene and determine and track their precise locations, all while accurately labeling them.

 

What this API receives and what your API provides (input/output)?

This API will receive an image URL and it will be delivering the position of the object it recognizes and, also, a label of the object. Ex "Chair", or "Car". 

Also, this API has the ability to retrieve a new modified image with all the located objects and it's positions. 

 

What are the most common uses cases of this API?

Object Recognition APIs are vastly used in different places such as: 

Video surveillance

Because state-of-the-art object detection techniques can accurately identify and track multiple instances of a given object in a scene, these techniques naturally lend themselves to automated video surveillance systems.

For instance, object detection models are capable of tracking multiple people at once, in real-time, as they move through a given scene or across video frames. From retail stores to industrial factory floors, this kind of granular tracking could provide invaluable insights into security, worker performance and safety, retail foot traffic, and more.

Crowd counting

Crowd counting is another valuable application of object detection. For densely populated areas like theme parks, malls, and city squares, object detection can help businesses and municipalities more effectively measure different kinds of traffic—whether on foot, in vehicles, or otherwise.

This ability to localize and track people as they maneuver through various spaces could help businesses optimize anything from logistics pipelines and inventory management, to store hours, to shift scheduling, and more. Similarly, object detection could help cities plan events, dedicate municipal resources, etc.

 

Self-driving cars

Real-time car detection models are key to the success of autonomous vehicle systems. These systems need to be able to identify, locate, and track objects around them in order to move through the world safely and efficiently.

And while tasks like image segmentation can be (and often are) applied to autonomous vehicles, object detection remains a foundational task that underpins current work on making self-driving cars a reality.

 

Are there any limitations with your plans?

Besides the number of API calls per month, there are no other limitations. 

API Documentation

Endpoints


Retrieve the positions of the detected objects and their labels. 



                                                                            
POST https://www.zylalabs.com/api/130/object+recognition+api/173/get+coordenates
                                                                            
                                                                        

Get Coordenates - Endpoint Features

Object Description
url [Required] The image URL that you want to extract the objects and their positions from.
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"results":[{"score":0.8230468034744263,"label":"sports car, sport car"},{"score":0.056396935135126114,"label":"racer, race car, racing car"},{"score":0.04765290021896362,"label":"grille, radiator grille"},{"score":0.030311841517686844,"label":"car wheel"},{"score":0.015034670941531658,"label":"convertible"}]}
                                                                                                                                                                                                                    
                                                                                                    

Get Coordenates - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/130/object+recognition+api/173/get+coordenates?url=https://www.cinch.co.uk/static/33916de99a6cf53e7a430f9f862a3296/99791/home-hero.png' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

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 Object Recognition API REST API, simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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