Summary of Detecting and Recognizing Characters in Greek Papyri with Yolov8, Deit and Simclr, by Robert Turnbull and Evelyn Mannix
Detecting and recognizing characters in Greek papyri with YOLOv8, DeiT and SimCLR
by Robert Turnbull, Evelyn Mannix
First submitted to arxiv on: 23 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers submitted their entry to a competition focused on detecting and recognizing individual characters from facsimile images of ancient papyrus manuscripts. The goal is to develop techniques that can accurately isolate and identify Greek letters in these handwritten documents. The authors present their approach to the `ICDAR 2023 Competition on Detection and Recognition of Greek Letters on Papyri’, which was held as part of a major conference on document analysis and recognition. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you’re an archaeologist trying to decipher ancient texts. This paper is about developing better ways to recognize individual letters in old handwritten documents, like papyrus manuscripts. The authors worked on a challenge where they had to find and identify Greek letters in fake images of these documents. They wanted to see how well their methods would work in this competition. |
