E-Moulouya BDD: Extended Moulouya Bird Detection Dataset

Citation Author(s):
Wiam
RABHI
Walid
AMARA
Zakaria
CHAROUH
Fatima
EL JAIMI
Houssam
BENABOUD
Moudathirou
BEN SAINDOU
Submitted by:
Wiam RABHI
Last updated:
Fri, 05/12/2023 - 16:49
DOI:
10.21227/es8y-cr94
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Abstract 

The Extended Moulouya Bird Detection Dataset (E-Moulouya BDD) is a comprehensive collection of annotated images proposed for bird detection. The dataset is a combination of three datasets, namely the XMBA dataset, the Rest Birds Dataset, and the D-Birds Dataset, which were merged and cleaned up to provide a consistent and unified labeling format. The E-Moulouya BDD comprises 13,000 annotated images, labeled with a standardized format to ensure consistency across the dataset. The dataset is publicly available on IEEE DATAPORT, making it an ideal resource for use by the scientific community. The E-Moulouya BDD is a valuable addition to the existing bird detection datasets, and its availability is expected to facilitate and improve research in this field.

Instructions: 

Please cite this work while using it for your projects by using:

Wiam RABHI, Walid AMARA, Zakaria CHAROUH, Fatima EL JAIMI, Houssam BENABOUD, Moudathirou BEN SAINDOU, April 6, 2023, "E-Moulouya BDD: Extended Moulouya Bird Detection Dataset", IEEE Dataport, doi: 10.21227/es8y-cr94.

Funding Agency: 
The dataset was created by the R&D team of MAJAL BERKANE SA.