Counting Objects by Estimating a Density Map With Convolutional Neural Networksby@neurosys
571 reads

Counting Objects by Estimating a Density Map With Convolutional Neural Networks

tldt arrow
Read on Terminal ReaderPrint this storyRead this story w/o Javascript

Too Long; Didn't Read

Counting objects in images is one of the fundamental tasks in computer vision. The task of counting objects is relatively easy for us, people, but it can be challenging for a computer vision algorithm. Deep learning (DL) methods provide the state-of-the-art performance in digital image processing. They require collecting a lot of annotated data, which is usually time consuming and prone to labelling errors. Alternative approaches leverage point-like annotations of objects positions, which are much cheaper to collect.

Company Mentioned

Mention Thumbnail
featured image - Counting Objects by Estimating a Density Map With Convolutional Neural Networks
NeuroSYS HackerNoon profile picture

@neurosys

NeuroSYS

About @neurosys
LEARN MORE ABOUT @NEUROSYS'S EXPERTISE AND PLACE ON THE INTERNET.
react to story with heart

RELATED STORIES

L O A D I N G
. . . comments & more!
Hackernoon hq - po box 2206, edwards, colorado 81632, usa