This competition will provide: (1) a benchmarking dataset for testing physical layout analysis solutions, which contains
Optical Character Recognition (OCR) Feasibility Challenge
Automating the handwriting and text recognition on scanned documents with 95%+ accuracy.
Greek Media Monitoring Multilabel Classification (WISE 2014)
Multi-label classification competition for articles coming from Greek printed media.
Tradeshift Text Classification
Create an open source an algorithm for text classification
ICDAR (International Conference on Document Analysis and Recognition)
International conference that hosts competitions on document analysis and recognition
ICDAR2019 Competition on Post-OCR Text Correction
The accuracy of Optical Character Recognition (OCR) technologies considerably impacts the way digital documents are indexed, accessed and exploited.