Howtosignalprocessing
- Can YOLOv5 detect small objects?
- Can faster RCNN detect small objects?
- Why Yolo can detect small objects?
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.
Can faster RCNN detect small objects?
Faster RCNN is used as a two-stage deep learning model for detecting these small objects; however, this model has some limitations in detecting small objects. The custom data consist of four types of object class: screw, no-screw, untighten screw, and labels.
Why Yolo can detect small objects?
YOLO belongs to a one-stage detection algorithm, which directly inputs the picture into the network and uses the Convolution Neural Networks to extract the features of the whole picture. Finally, the whole picture is regressed to detect the object.
