2021 BRN Discussion, page-27750

Hi there, I have seen a few examples of Akita image classification (see below definitions). I was wondering if anyone is aware of examples showing localisation or detection? Is it suitable for this stuff?
cheers

• Image Classification: Predict the type or class of an object in an image.
  • Input: An image with a single object, such as a photograph.
  • Output: A class label (e.g. one or more integers that are mapped to class labels).
• Object Localization: Locate the presence of objects in an image and indicate their location with a bounding box.
  • Input: An image with one or more objects, such as a photograph.
  • Output: One or more bounding boxes (e.g. defined by a point, width, and height).
• Object Detection: Locate the presence of objects with a bounding box and types or classes of the located objects in an image.
  • Input: An image with one or more objects, such as a photograph.
  • Output: One or more bounding boxes (e.g. defined by a point, width, and height), and a class label for each bounding box.