Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures

by   Steven Puttemans, et al.

The uprising trend of deep learning in computer vision and artificial intelligence can simply not be ignored. On the most diverse tasks, from recognition and detection to segmentation, deep learning is able to obtain state-of-the-art results, reaching top notch performance. In this paper we explore how deep convolutional neural networks dedicated to the task of object detection can improve our industrial-oriented object detection pipelines, using state-of-the-art open source deep learning frameworks, like Darknet. By using a deep learning architecture that integrates region proposals, classification and probability estimation in a single run, we aim at obtaining real-time performance. We focus on reducing the needed amount of training data drastically by exploring transfer learning, while still maintaining a high average precision. Furthermore we apply these algorithms to two industrially relevant applications, one being the detection of promotion boards in eye tracking data and the other detecting and recognizing packages of warehouse products for augmented advertisements.


page 1

page 4

page 8


How many radiographs are needed to re-train a deep learning system for object detection?

Background: Object detection in radiograph computer vision has largely b...

Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation

The aquaculture sector in New Zealand is experiencing rapid expansion, w...

A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks

As a major breakthrough in artificial intelligence and deep learning, Co...

An All Deep System for Badminton Game Analysis

The CoachAI Badminton 2023 Track1 initiative aim to automatically detect...

Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation

With the rise of deep learning models in the field of computer vision, n...

Traffic Signs Detection and Recognition System using Deep Learning

With the rapid development of technology, automobiles have become an ess...

Please sign up or login with your details

Forgot password? Click here to reset