Pregled bibliografske jedinice broj: 1072136
Enhancing the Performance of Image Preprocessing for Classification and Object Detection
Enhancing the Performance of Image Preprocessing for Classification and Object Detection // Polytechnic and design, 8 (2020), 1; 8-14 doi:10.19279/TVZ.PD.2020-8-1-12 (međunarodna recenzija, članak, ostalo)
CROSBI ID: 1072136 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Enhancing the Performance of Image Preprocessing
for Classification and Object Detection
Autori
Cesar, Ivan ; Solina, Valentin ; Kramberger, Renata ; Kramberger, Tin
Izvornik
Polytechnic and design (1849-1995) 8
(2020), 1;
8-14
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, ostalo
Ključne riječi
computer vision, deep learning, training optimization
Sažetak
The image preprocessing optimization is a challenging task with numerous applications including classification and object detection on which this paper is oriented the most. Enhancing the performance in terms of processing time for image preprocessing is crucial to every researcher engaged into deep learning. A few common mistakes and practices are presented in this paper which can greatly impact training time, alongside practices and tools used for diagnosing potential pitfalls. In this paper, we evaluate several common Python libraries which are used for image preprocessing and analyze the impact of different augmentation ordering with respect to central processing unit (CPU) usage.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Tehničko veleučilište u Zagrebu
