FONTNET: On-Device Font Understanding and Prediction Pipeline

no code implementations • 30 Mar 2021 • Rakshith S, Rishabh Khurana, Vibhav Agarwal, Jayesh Rajkumar Vachhani, Guggilla Bhanodai

In this paper, we propose two engines: Font Detection Engine, which identifies the font style, color and size attributes of text in an image and a Font Prediction Engine, which predicts similar fonts for a query font.

Font Recognition

Language Detection Engine for Multilingual Texting on Mobile Devices

no code implementations • 7 Jan 2021 • Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani, Guggilla Bhanodai, Ankur Agarwal, Chandramouli Sanchi

This model outperforms fastText by 60. 39% and ML-Kit by 23. 67% in F1 score for European languages.

valid

bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media

no code implementations • SEMEVAL 2019 • Ritesh Kumar, Guggilla Bhanodai, Rajendra Pamula, Maheswara Reddy Chennuru

This paper describes the work that our team bhanodaig did at Indian Institute of Technology (ISM) towards OffensEval i. e. identifying and categorizing offensive language in social media.

General Classification

TRAC-1 Shared Task on Aggression Identification: IIT(ISM)@COLING'18

no code implementations • COLING 2018 • Ritesh Kumar, Guggilla Bhanodai, Rajendra Pamula, Maheshwar Reddy Chennuru

This paper describes the work that our team bhanodaig did at Indian Institute of Technology (ISM) towards TRAC-1 Shared Task on Aggression Identification in Social Media for COLING 2018.

Aggression Identification Transfer Learning +1