Deep learning concepts and datasets for image recognition: overview 2019

Karel Horak; Robert Sablatnig

doi:10.1117/12.2539806

14 August 2019 Deep learning concepts and datasets for image recognition: overview 2019

Karel Horak, Robert Sablatnig

Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111791S (2019) https://doi.org/10.1117/12.2539806
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China

Abstract

We present basics of a deep learning concept and an overview of well-known deep learning concepts as general Convolutional Neural Networks, R-CNN family, Single Shot Multibox Detector, You Only Look Once architecture and the RetinaNet in the first part of this paper. The all mentioned architectures are described to quickly compare to each other regarding their suitability for given general task. Several selected datasets often used in deep learning competitions are listed in the subsequent chapters in more details. The most known of practically used and listed datasets are COCO, KITTI, PascalVOC and CityShapes. The overview serves as a comparison of the state-of-the-art deep learning methods.

Citation Download Citation

Karel Horak and Robert Sablatnig "Deep learning concepts and datasets for image recognition: overview 2019", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111791S (14 August 2019); https://doi.org/10.1117/12.2539806

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available