Industry

Lyft
X5 Retail Group
MedHub
Recursion
Everypixel
Neuromation

Deep learning research

Albumentations is widely used in research areas related to computer vision and deep learning. If you find this library useful for your research, please consider citing Albumentations: Fast and Flexible Image Augmentations:
@Article{info11020125,
    AUTHOR = {Buslaev, Alexander and Iglovikov, Vladimir I. and Khvedchenya, Eugene and Parinov, Alex and Druzhinin, Mikhail and Kalinin, Alexandr A.},
    TITLE = {Albumentations: Fast and Flexible Image Augmentations},
    JOURNAL = {Information},
    VOLUME = {11},
    YEAR = {2020},
    NUMBER = {2},
    ARTICLE-NUMBER = {125},
    URL = {https://www.mdpi.com/2078-2489/11/2/125},
    ISSN = {2078-2489},
    DOI = {10.3390/info11020125}
}

List of papers that cite Albumentations

- NYQ Abderrahim, S Abderrahim
- B Staar, S Bayrak, D Paulkowski, M Freitag
- 杨必胜, 宗泽亮, 陈驰, 孙文鹿, 米晓新, 吴唯同
- L Chang, W Zhuang, R Wu, S Feng, H Liu, J Yu
- HEB CASS
110. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
121. A Deep 3D Object Pose Estimation Framework for Robots with RGB-D Sensors
- D Lacalle, HA Castro-Abril, T Randelovic
- J Zhang, Y Meng, J Wu, J Qin, T Yao, S Yu

Machine learning competitions


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