Image processing, recognizing a small feature in a larger image

1. Can YOLOv5 detect small objects?
2. How do I identify a feature in an image?
3. How does feature matching work?

Can YOLOv5 detect small objects?

Considering that the SF-YOLOv5 mainly detects small objects, while the original WIDER FACE dataset contains not only small targets, but also large targets, which will affect the experimental results; therefore, we first screened according to the number and size of face images in a single image in the original dataset.

How do I identify a feature in an image?

Feature detection is a method to compute abstractions of image information and making local decisions at every image point whether there is an image feature of a given type at that point or not. Feature detection is a low-level image processing operation.

How does feature matching work?

Feature matching refers to finding corresponding features from two similar images based on a search distance algorithm. One of the images is considered the source and the other as target, and the feature matching technique is used to either find or derive and transfer attributes from source to target image.