Data · dataset · 2026
Annotated camera trap images of Central European Mammal species V2
Listed in Debreceni Egyetem Adattár
Annotated camera trap images of Central European Mammal species: dog (Canis familiaris), red deer (Cervus elaphus), wild boar (Sus scrofa), roe deer (Capreolus capreolus), muflon (Ovis orientalis), grey wolf (Canis lupus), red fox (Vulpes vulpes), wildcat (Felis silvestris), and European badger (Meles meles).
Description
The annotations are stored in YOLO format, so every frame of our data set has a corresponding text file with the same name, and each row in these text files contains information about a single bounding box coordinate (class_id, x_center, y_center, bbox_width, bbox_height).
Usage: Filtered views kornel.zool.klte.hu/training-imageset-browser/api/species kornel.zool.klte.hu/training-imageset-browser/api/species/Vulpes_vulpes kornel.zool.klte.hu/training-imageset-browser/api/search?q=vulpes Browse images kornel.zool.klte.hu/training-imageset-browser/api/image/1001_D_vulpes_vulpes Browse annotations kornel.zool.klte.hu/training-imageset-browser/api/label/1001_D_vulpes_vulpes Download kornel.zool.klte.hu/training-imageset-browser/api/download/1001_D_vulpes_vulpes
Links
Where it is published
- Dataverse dataset page adattar.unideb.hu/dataset.xhtml?persistentId=doi%3A10.48428%2FADATTAR%2FJJJ80A ↗
landing page · from adattar unideb hu
- DOI doi.org/10.48428/adattar/jjj80a ↗
DOI / persistent id · from adattar unideb hu
Catalogue records · 1
- Dataverse API adattar.unideb.hu/api/datasets/:persistentId/?persistentId=doi%3A10.48428%2FADAT… ↗
metadata API · from adattar unideb hu
Topics
- Stated by source
- Computer and Information Science · Earth and Environmental Sciences
- From keywords
- Computer Science & AI · Deep learning · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Debreceni Egyetem Adattár | doi:10.48428/ADATTAR/JJJ80A | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:461103 | mapping · adattar unideb hu | vocabulary-mapper@1.0.0 | keywords['deep learning'] |
| concepts[field].dataverse_subject:computer-and-information-science | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · adattar unideb hu | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:text | enrichment · adattar unideb hu | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | |
| description | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /description |
| publication_date | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | |
| title | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | /name |
| updated_date | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 | |
| version_label | source · adattar unideb hu | connector:adattar_unideb_hu@1.0.0 |