X5 Retail Group
Piñata Farms
Sharper Shape

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:
    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 = {},
    ISSN = {2078-2489},
    DOI = {10.3390/info11020125}

List of papers that cite Albumentations

- NYQ Abderrahim, S Abderrahim
71. Benchmark for generic product detection: a strong baseline for dense object detection
- S Varadarajan, S Kant, MM Srivastava
- 王丽芳, 张程程, 秦品乐, 蔺素珍, 高媛, 窦杰亮
- S Turko, L Burmak, I Malyshev, S Shtykov, M Popov
- S Zhang, Y Zou, T Wang, Y Xiong
- D Diaz Valencia, S Jaramillo Gonzales
- JM Esteban, J van de Loosdrecht, M Aghaei
- 晏旭, 马帅, 曾凤娇, 郭正华, 伍俊龙, 杨平, 许冰
- 杨必胜, 宗泽亮, 陈驰, 孙文鹿, 米晓新, 吴唯同
- X Yibin
- Y Pu, Z Feng, Z Wang, Z Yang
- J Marti Asenjo, A Martinez-Larraz Solís
286. Deep learning for skin lesion classification: augment, train, and ensemble= Aprendizado profundo para classificação de lesões de pele: aumento, treino e …
- L Chang, W Zhuang, R Wu, S Feng, H Liu, J Yu
- 林成创, 单纯, 赵淦森
311. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
- D Qi, K Hu, W Tan, Q Yao, J Liu
- L Kalinathan, PG Prabavathy Balasundaram
- M Genaev, E Skolotneva, E Gultyaeva, E Orlova
- СВ Ульянов, АВ Филипьев, КВ Кошелев
- MA Genaev, ES Skolotneva, EI Gultyaeva, EA Orlova

Machine learning competitions

Open source projects

open-mmlab/mmdetection 17.3k
OpenMMLab Detection Toolbox and Benchmark
spmallick/learnopencv 15.2k
Learn OpenCV : C++ and Python Examples
deepinsight/insightface 10.7k
State-of-the-art 2D and 3D Face Analysis Project
pytorch/ignite 3.8k
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
PaddlePaddle/PaddleSeg 3.2k
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks from research to industrial applications.
NVlabs/imaginaire 2.9k
NVIDIA's Deep Imagination Team's PyTorch Library
catalyst-team/catalyst 2.8k
Accelerated deep learning R&D
ml-tooling/ml-workspace 2.3k
🛠 All-in-one web-based IDE specialized for machine learning and data science.
saic-mdal/lama 2.0k
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
toandaominh1997/EfficientDet.Pytorch 1.4k
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
azavea/raster-vision 1.4k
An open source framework for deep learning on satellite and aerial imagery.
open-mmlab/mmpose 1.4k
OpenMMLab Pose Estimation Toolbox and Benchmark.