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ZENODO
Dataset . 2026
License: CC BY SA
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY SA
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY SA
Data sources: Datacite
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A dataset for 19th-century French land registry pages classification

Dataset pour la classification automatique de pages issues des registres d'états de sections du cadastre napoléonien
Authors: Tual, Solenn; Chazalon, Joseph; Perret, Julien; Abadie, Nathalie; Duménieu, Bertrand;

A dataset for 19th-century French land registry pages classification

Abstract

Initial registers pages classification dataset overview This dataset is prepared to train classification models for French 19th-century land registry pages. It deals only with initial registers pages (états de sections in French). Images have been provided by the Val de Marne Archive and they can be associated with two former French departements : the Seine and the Seine-et-Oise (departements that were rounded Paris before 1968). There are three main layouts in these registers which are presents here. The dataset counts 1046 simple pages (1016 in version 1) and has been split into training, validation, and test sets with stratification based on the type of page. It is structured according to YOLO Classification format. The metadata_v2.json file gives more information on the pages of the dataset (version 2). The additionnal_pages.json gives the information related to the pages added to version 2. 📁 Usage This dataset is intended for training a YOLO-v11 classification model. Differences with version 1 Version 2 is an augmented version of the dataset (+30 pages). The train subset is exactly the same as in version 1. The less represented classes (ets_couv and ets_resume) in the val and test subsets have been manually augmented to strengthen the evaluation. 📊 Dataset Splits Split Count Diff. with V1 Train 745 = Val 137 +14 Test 164 +16 🏙️ Grouped by municipality Communes are distinct across splits (useful to test geographic generalization), as land registry were produced for each municipality under the supervision of each departement. Train Set Commune Count BONNEUIL 8 BRY 28 CHARENTON 20 CHEVILLY 4 CHOISY 16 CRETEIL 10 FONTENAY 8 FRESNES 20 GENTILLY 68 IVRY 72 JOINVILLE 28 LEPERREUX 24 LEPLESSIS 52 LHAY 31 MAISONSALFORT 20 MAROLLES 24 NOGENT 40 ORMESSON 24 SAINTMANDE 48 SAINTMAURICE 12 SANTENY 8 SUCY 8 VALENTON 12 VILLENEUVESTG 8 VILLIERS 16 VINCENNES 76 VITRY 60 Val Set Commune Count ARCUEIL 22 CHAMPIGNY 8 MANDRES 20 PERIGNY 16 RUNGIS 20 SAINTMAUR 15 VILLECRESNES 12 VILLEJUIF 24 Test Set Commune Count ABLON 8 ALFORTVILLE 33 BOISSY 16 LIMEIL 14 NOISEAU 16 ORLY 32 THIAIS 21 VILLENEUVELEROI 24 🔠 Stratification by type of page Train Set Classe Count ets_couv 15 ets_recap_inter 198 ets_resume 30 ets_tab_p1 413 ets_tab_p2 89 Val Set Classe Count Diff. with V1 ets_couv 9 +6 ets_recap_inter 38 = ets_resume 11 +8 ets_tab_p1 57 = ets_tab_p2 22 = Test Set Classe Count Diff. with V1 ets_couv 11 +10 ets_recap_inter 27 = ets_resume 10 +6 ets_tab_p1 86 = ets_tab_p2 30 = 🎨 Color Distribution Indication on digitisation color of the images Split COLOR GREY train 473 272 val 50 87 test 71 93 Type of register AV_1822_NB : Register produced before 1822AP_1822 : Register produced after 1822 (except renovation campaign of the Seine departement)RECTIFICATION_1835 : Renovation campaign of the Seine departement (circa 1835-1840) tag AV_1822_NB AP_1822 RECTIFICATION_1835 train 212 302 231 val 64 0 73 test 74 36 54

Keywords

Document classification, Cadastre, Image classification dataset, Classification

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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