- What are the datasets used for object detection?
- What is a salient object?
- What is Saliency detection?
What are the datasets used for object detection?
DOTA is a highly popular dataset for object detection in aerial images, collected from a variety of sources, sensors and platforms. The images range from a low of 800x800 to 200,000x200,000 pixels in resolution and contain objects of many different types, shapes and sizes.
What is a salient object?
Salient object detection aims at simulating the visual characteristics of human beings and extracts the most attractive regions from images or videos. The content in these saliency areas is what we call salient objects.
What is Saliency detection?
Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image. Source: An Unsupervised Game-Theoretic Approach to Saliency Detection.