Industry

www.lyft.com
www.x5.ru
imedhub.org
recursionpharma.com
www.everypixel.com
neuromation.io

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
- D Wu, Y Chen, X Qi, Y Jian, W Chen, R Xiao
49. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- M Kashiwagi, N Mishima

Machine learning competitions


Open source projects

open-mmlab/mmdetection 10.4k
OpenMMLab Detection Toolbox and Benchmark
catalyst-team/catalyst 2.0k
Accelerated DL R&D
toandaominh1997/EfficientDet.Pytorch 1.3k
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
azavea/raster-vision 1.1k
An open source framework for deep learning on satellite and aerial imagery.
ternaus/robot-surgery-segmentation 482
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
TAMU-VITA/DeblurGANv2 406
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
ZJULearning/ttfnet 301
No description provided.
saic-vul/adaptis 289
[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829
Media-Smart/vedaseg 283
A semantic segmentation toolbox based on pytorch
SeuTao/kaggle-competition-solutions 219
Kaggle competition solutions