Crowdsourcing annotation system of object counting dataset for deep learning algorithm

2nd International Conference on Eco Engineering Development 2018

生态环境科学

Cenggoro, Tjeng Wawan^1,4 ; Tanzil, Fidelson^1 ; Aslamiah, Ayu Hidayah^1 ; Karuppiah, Ettikan Kandasamy^3 ; Pardamean, Bens^2,4

Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta

11480, Indonesia^1

Computer Science Department, BINUS Graduate Program - Master of Computer Science Program, Bina Nusantara University, Jakarta

11480, Indonesia^2

NVIDIA Corporation, Indonesia^3

Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta

11480, Indonesia^4

关键词: Annotation systems;    Massive data;    Object counting;    State-of-the-art techniques;    Training data;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/195/1/012063/pdf
DOI  :  10.1088/1755-1315/195/1/012063

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Deep Learning is currently the state-of-the-art technique for various Computer Vision tasks, including object counting. Despite of its high performance, Deep Learning requires a gigantic amount of training data to show its best result. Getting this massive data in reasonable time requires a proper strategy such as crowdsourcing. However, in case of object counting, we found no crowdsourcing system able to effectively collect necessary data. To tackle this problem, we develop a crowdsourcing system to annotate image for object counting dataset. This system is also equipped with validation system to ensure the quality of collected dataset.