no code implementations • 1 May 2024 • Oshri Naparstek, Roi Pony, Inbar Shapira, Foad Abo Dahood, Ophir Azulai, Yevgeny Yaroker, Nadav Rubinstein, Maksym Lysak, Peter Staar, Ahmed Nassar, Nikolaos Livathinos, Christoph Auer, Elad Amrani, Idan Friedman, Orit Prince, Yevgeny Burshtein, Adi Raz Goldfarb, Udi Barzelay
In recent years, the challenge of extracting information from business documents has emerged as a critical task, finding applications across numerous domains.
no code implementations • 4 Jul 2022 • Oshri Naparstek, Ophir Azulai, Daniel Rotman, Yevgeny Burshtein, Peter Staar, Udi Barzelay
Business documents often include sensitive information and as such they cannot be uploaded to a cloud service for OCR.
Optical Character Recognition Optical Character Recognition (OCR) +1
no code implementations • 17 May 2022 • Daniel Rotman, Ophir Azulai, Inbar Shapira, Yevgeny Burshtein, Udi Barzelay
Additionally, we present and make publicly available our synthetic dataset with a unique hard-negative component specifically tuned to improve detection results, and evaluate the benefits that can be gained from its usage
Optical Character Recognition Optical Character Recognition (OCR)
no code implementations • 28 Nov 2021 • Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky
The digital conversion of information stored in documents is a great source of knowledge.
no code implementations • 21 Apr 2020 • Rami Ben-Ari, Mor Shpigel, Ophir Azulai, Udi Barzelay, Daniel Rotman
Classification of new class entities requires collecting and annotating hundreds or thousands of samples that is often prohibitively costly.