Data · dataset · 2026
Dataset MagotSeg for detection and segmentation of Barbary Macaques in zoos
Listed in data.InDoRES
Description
This dataset was used for the article "Enhancing Wildlife Monitoring with Computer Vision: A Dataset for Automated Detection of Barbary Macaques" published in Data in Brief (doi.org/10.1016/j.dib.2026.112973). This dataset contains 5 distints elements. - The first element named "Annotations.zip" is a folder containing annotations and labels for bounding boxes and segmentations. - The second element named "Original_Frames_1.zip" is a folder containing annotated Frames for each video used, classified by each video camera (i.e., Cam_Enclos1, Cam_Enclos2). - The third element named "Original_Frames_2.zip" is a folder containing annotated Frames for each video used, classified by each video camera (i.e., Cam_Enclos3, Cam_Enclos4, Cam_Enclos5, Cam_mobile_dome) - The fourth element named "data_per_video.csv" is a table in .csv format (Excel software) summarising video camera name, video name, capture date, Frame number, individals number, mature and juvenile number, weather conditions for each video. - The fifth element named "readme.txt" is a text in .txt format with further explanations regarding the files, notably the variables of the database.
Links
Where it is published
- Dataverse dataset page data.indores.fr/dataset.xhtml?persistentId=doi%3A10.48579%2FPRO%2FK7FEET ↗
landing page · from data indores fr
- DOI doi.org/10.48579/pro/k7feet ↗
DOI / persistent id · from data indores fr
Catalogue records · 1
- Dataverse API data.indores.fr/api/datasets/:persistentId/?persistentId=doi%3A10.48579%2FPRO%… ↗
metadata API · from data indores fr
Topics
- Stated by source
- Computer and Information Science · Earth and Environmental Sciences
Provenance · 1 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| data.InDoRES | doi:10.48579/PRO/K7FEET | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:461103 | mapping · data indores fr | vocabulary-mapper@1.0.0 | keywords['deep learning'] |
| concepts[field].anzsrc:group:4602 | mapping · data indores fr | vocabulary-mapper@1.0.0 | keywords['artificial intelligence'] |
| concepts[field].dataverse_subject:computer-and-information-science | source · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · data indores fr | connector:data_indores_fr@1.0.0 | /subjects |
| concepts[modality].local:modality:tabular | enrichment · data indores fr | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:text | enrichment · data indores fr | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · data indores fr | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · data indores fr | connector:data_indores_fr@1.0.0 | |
| description | source · data indores fr | connector:data_indores_fr@1.0.0 | /description |
| publication_date | source · data indores fr | connector:data_indores_fr@1.0.0 | |
| title | source · data indores fr | connector:data_indores_fr@1.0.0 | /name |
| updated_date | source · data indores fr | connector:data_indores_fr@1.0.0 | |
| version_label | source · data indores fr | connector:data_indores_fr@1.0.0 |