LaSBiRD: Large Scale Bird Recognition Dataset

Citation Author(s):
Fatima
EL JAIMI
Wiam
RABHI
Walid
AMARA
Zakaria
CHAROUH
Houssam
BENABOUD
Moudathirou
BEN SAINDOU
Submitted by:
Wiam RABHI
Last updated:
Mon, 09/23/2024 - 08:13
DOI:
10.21227/s3xd-2s66
Data Format:
License:
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Abstract 

The dataset consists of a large collection of images of about 11,000 different species of birds, with a total of 5 million images. This dataset represents a valuable resource for researchers, conservationists, and bird enthusiasts alike, allowing for a more comprehensive understanding of the diversity and distribution of avian species around the world. The data could be used for a wide range of applications, including species identification, biodiversity monitoring, and ecological research. The sheer size of the dataset makes it a powerful tool for machine learning and computer vision algorithms, enabling the development of accurate and efficient automated bird identification systems. Overall, this dataset represents an unprecedented opportunity to advance our knowledge of birds and their role in the natural world.

Note : You can access the full dataset from here.

 

Instructions: 

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

W. Rabhi, F. Eljaimi, W. Amara, Z. Charouh, A. Ezzouhri, H. Benaboud, M. Saindou, and F. Ouardi, "An Integrated Framework for Bird Recog-nition using Dynamic Machine Learning-based Classification" in IEEEInternational Symposium on Computers and Communications, 2023.

 

Acknowledgments

We would like to express our sincere gratitude to the Moroccan Ministry of Energy Transition and Sustainable Development for its generous funding support for the E-Moulouya project. We are also deeply thankful to the Province of Berkane, the National Agency for Water and Forestry, the Berkane Prefectural Council, the Oriental Region Council, the Municipality of Saidia, the Moulouya Hydraulic Basin Agency, and the Man and Environment Association of Berkane for their invaluable insights, constructive discussions, and valuable feedback throughout the development of this project. 

 

Contact 

For any inquiries, please contact: f.eljaimi@gmail.com 

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

Comments

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Submitted by ferdinand dreyer on Mon, 08/19/2024 - 17:03

Hello :) I think there is a lot data missing. I can only find the images of birds with the name between A-P. Summed up these make 4223 species, not 11.000. Is the rest also somehow available?
Kind regards Ferdinand Dreyer

Submitted by ferdinand dreyer on Mon, 08/26/2024 - 10:29

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