We believe that today more than ever the possibility of identifying a specific object is within reach, or better said, of a click.
Today we bring you the Object Recognition API, and we dare to say that it is the smartest of 2023.
You may wonder why, well this Object Recognition API works by using an extremely powerful and updated AI with the latest values of today, so identifying a given object takes no more than a few seconds.
This is incomparable with the alternative of doing it manually, that’s why this Object Recognition API not only allows you to save a lot of time, it also facilitates the tasks of your work team since this action is already solved before starting.
How does the AI of this Object Recognition API work?
Object detection is a computer vision technique for identifying and locating objects in images or videos. Specifically, object detection draws bounding boxes around detected objects, allowing us to determine where these objects are in (or how they move through) a given scene.
Object Recognition and image detection are frequently confused, so it’s important to understand the differences before moving on.
An image is labeled by image detection. The label “dog” is applied to a picture of a dog. A picture of two dogs is still labeled “dog.” In contrast, Object Recognition API draws a box around each dog and labels it “dog.”
The model predicts where each object will be and what label will be assigned to it. Our Object Recognition API , in this sense, provides more information about an image than detection.
Why is this Object Recognition API important?
Object Recognition is inextricably linked to other related computer vision techniques such as image detection and image segmentation in that it assists us in understanding and analyzing scenes in images or video.
However, there are significant differences. Image detection only generates a class label for an identified object, whereas image segmentation generates a pixel-level understanding of the elements of a scene. Object Recognition API is distinguished from the other tasks by its ability to locate objects within an image or video. This enables us to count and track the objects.
Given these key distinctions and the unique capabilities of Object Recognition API, we can see how it can be used in a variety of ways:
- Counting the crowd
- Autonomous vehicles
- Video monitoring
- Face recognition
- Detection of anomalies
Of course, this is not an exhaustive list, but it does include some of the most important ways that object detection is shaping our future.
Just think about the importance of being able to recognize a living being from an object in the case of an autonomous vehicle. This Object Recognition API is responsible for identifying and labeling each object that is presented in front of the cameras that allow the autonomy of the vehicles.
The team that was in charge of these issues will have the possibility to focus on other tasks because this is already solved and optimized like never before thanks to the Object Recognition API.
Also published on Medium.