Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance. (arXiv:2209.08237v1 [cs.CV])

Deep learning has made great strides for object detection in images. The
detection accuracy and computational cost of object detection depend on the
spatial resolution of an image, which may be constrained by both the camera and
storage considerations. Compression is often achieved by reducing either
spatial or amplitude resolution or, at times, both, both of which have
well-known effects on performance. Detection accuracy also depends on the
distance of the object of interest from the camera. Our work examines …

arxiv detection image impact objects performance quality understanding