Leverages a deep neural network to detect objects in images and returns bounding box coordinates and label for each item detected.
Detect multiple objects in a picture at once based on state of the art Computer Vision Algorithm. Upload a picture and the API will return a response containing a description of all the objects in the picture and their locations.
The use of computer vision has revolutionized our society today. It is possible to communicate with machines and make robots do particular tasks to differentiate between different objects. Deep learning and artificial intelligence have come to aid computer vision with similar capabilities to the human eye in identifying items.
Whereas there is a similarity in image recognition and object detection, it is good to note the difference. In image recognition, the computer identifies the main object and gives it a label.
On the other hand, in object detection, computer vision makes a bounding box in each item’s image and provides a brand. Due to the ever-growing demand for object detection, there is thus a need for object detection APIs.
An object detection API is a set of commands written in a given coding environment that helps computer vision identify different objects in a video or picture.
You have to create an account with the API provider and request a key. The key gives you access to all actions that you undertake using the API. On the API console, you have to integrate the appropriate programming environment for the API.
The API receives the request and process by checking against the API database. The API then returns the response using JSON or XML data transfer format identifying the objects found on the image or video.
Manufacturers - The self-driving car manufacturers use the APIs to help the vehicles identify objects on the road such as pedestrians, traffic lights, other cars, and obstacles. People who make face recognition and health equipment find APIs very useful.
Public Safety Companies - Object detection APIs are useful in crowd detection and management. The security teams use APIs in video surveillance.
Sports Analysts - In sports such as soccer, the APIs help in tracking the ball.
Developers - They use these APIs to build better applications for computer vision.
With the increased popularity in deep learning, artificial intelligence, and machine learning scalability, the object detection API will rise.
Free examples include Torus, Deep Image Object Recognition, and Google AI Vision.
All Object Detection APIs are supported and made available in multiple developer programming languages and SDKs including:
Just select your preference from any API endpoints page.
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