Jsesh word image manual#

Hieroglyphs used to write this tri-gram: G17,N29,G1.NGrams are included in this dataset as well, under Dataset/LanguageModel/nGrams.txtĮach line in this file contains an nGram (either uni-gram, bi-gram or tri-gram) accompanied by their occurrence. The 3 hieroglyphs used to write this word: D36,N35,D7,.Each element is separated by a semicolon.Įxample: D36,N35,D7, an beautiful 0.333333 Other information such as the translation, transliteration and word-occurrence is also stored. The lexicon is organised as follows: each line contains a word, that is made up by a number of hieroglyphs. Each time a word is encoutered in the text, the word-occurrence is increased by 1 divided by the amount of other possible words that can be made with the surrounding hieroglyphs. Originally from OpenGlyp, but with added word-occurrence based on the EgyptianTexts. Each text can be opened by Jsesh to view the hieroglyphs.įurthermore, a lexicon is included in Dataset/LanguageModel/Lexicon.txt. The texts are written in a mixture of Gardiner labels and transliteration. Jsesh is an open source program, used to write hieroglyphs Jsesh. In Dataset/LanguageModel/JSESH_EgyptianTexts/ are the Egyptian texts from the JSesh database. Included in this dataset are some tools to create the language model. Picture number = 3 (Dataset/Pictures/egyptianTexts3.jpg).Each file in this folder contains the exact position of all (raw) annotated hieroglyphs in their corresponding picture.Įxample: '030000_S29.png,71,27,105,104,' from Dataset/Manual/Locations/3.txt: The x/y position of each hieroglyph is stored in the Location-folder.

Jsesh word image manual#

The labels on automatic detected images are based on a comparison with the manual detection, and are labelled according the the Pascal VOC overlap criteria (50% overlap). The results are shown in Dataset/Automated/ The hieroglyphs that I was unable to identify are labelled as 'UNKNOWN'.Īside from the manual annotation, we used a text-detection method to extract the hieroglyphs automatically. This is out of my knowledge as an Egyptian NOTE: The labelling may not be 100% correct. TotalClasses = 171 (excluding the UNKNOWN class) TotalImages = 4210 (of which 179 are labelled as UNKNOWN)

The images are stored with their label and number in their name. Each hieroglyph is manually annotated and labelled according the Gardiner Sign List.The ten different pictures used throughout this dataset are: 3,5,7,9,20,21,22,23,39,41 (numbers represent the numbers used in the book 'The pyramid of Unas'.We therefore urge you to have access to this book before using the dataset.

This dataset is build from the hieroglyphs found in 10 different pictures from the book 'The Pyramid of Unas' (Alexandre Piankoff, 1955).Hieroglyphs image dataset along with Language Model !