Object detection versus object recognition

Object Recognition is responding to the question "What is the object in the image" Whereas, Object detection is answering the question "Where is that object".

1. What is the difference between object detection and object recognition?
2. What is the difference between detection and recognition?
3. What is the difference between object recognition and face recognition?
4. Is image detection and object detection same?

What is the difference between object detection and object recognition?

Object detection is the process of finding instances of objects in images. In the case of deep learning, object detection is a subset of object recognition, where the object is not only identified but also located in an image. This allows for multiple objects to be identified and located within the same image.

What is the difference between detection and recognition?

Detection: ability to distinguish an object from the background. Recognition: ability to classify the object class (animal, human, vehicle, boat …) Identification: ability to describe the object in details (a man with a hat, a deer, a Jeep …)

What is the difference between object recognition and face recognition?

Moreover, basic-level object recognition seems to involve a parts- based description, whereas face recognition depends upon more holistic processing. This work distinguishes between the visual processes mediating the recognition of objects and faces.

Is image detection and object detection same?

Image Localization will specify the location of single object in an image whereas Object Detection specifies the location of multiple objects in the image. Finally, Image Segmentation will create a pixel wise mask of each object in the images.