ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment

07/12/2021
by   Chun Chet Ng, et al.
0

With hundreds of thousands of electronic chip components are being manufactured every day, chip manufacturers have seen an increasing demand in seeking a more efficient and effective way of inspecting the quality of printed texts on chip components. The major problem that deters this area of research is the lacking of realistic text on chips datasets to act as a strong foundation. Hence, a text on chips dataset, ICText is used as the main target for the proposed Robust Reading Challenge on Integrated Circuit Text Spotting and Aesthetic Assessment (RRC-ICText) 2021 to encourage the research on this problem. Throughout the entire competition, we have received a total of 233 submissions from 10 unique teams/individuals. Details of the competition and submission results are presented in this report.

READ FULL TEXT

page 6

page 11

research
09/16/2019

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-S...
research
05/16/2023

ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

We organize a competition on hierarchical text detection and recognition...
research
06/09/2021

DREAMS: Drilling and Extraction Automated System

Drilling and Extraction Automated System (DREAMS) is a fully automated p...
research
04/24/2023

ICDAR 2023 Competition on Reading the Seal Title

Reading seal title text is a challenging task due to the variable shapes...
research
08/19/2021

A Tutorial on Design Obfuscation: from Transistors to Systems

The recent advances in the area of design obfuscation are encouraging, b...
research
09/17/2019

ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling – RRC-LSVT

Robust text reading from street view images provides valuable informatio...
research
03/18/2021

ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

Scanned receipts OCR and key information extraction (SROIE) represent th...

Please sign up or login with your details

Forgot password? Click here to reset