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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

150. DCNN-based Screw Classification in Automated Disassembly Processes.
212. Benchmark for generic product detection: a strong baseline for dense object detection
373. Smartphone Glass Inspection System.
384. Algoritmo de clasificación de lesiones en exámenes mamográficos
420. Οπτική αναγνώριση αντικειμένων σε μεγάλες βάσεις δεδομένων
510. Αναγνώριση προσώπων με τεχνικές βαθιάς μηχανικής μάθησης
583. Deep Learning for Skin Lesion Classification: Augment, Train, and Ensemble
618. Comparison of the MultiRes U-Net and the classical U-Net on the performance of kidney and kidney tumor segmentation
640. Brain tumor classification on the patient level using attention-based AI methods and multi-sequences MRI

Machine learning competitions

Open source projects

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