Image augmentation for machine learning experiments.
I would also recommend you to give a try to TensorFlow Object Detection Model - https://github.com/tensorflow/models/tree/master/research/object_detection with augmentation - https://github.com/aleju/imgaug pipeline. The same worked for me in a similar use case where I had to localise logo on documents.
[N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models
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[UPDATE!] Recognize trinkets with Isaac Item Recognizer! And also a few useful features in my newest update.
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Data augmentation strategies for object detection? Could you point me to good resources or best practices you know of?
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Albumentations 1.1.0 Was Released
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Optimization for semantic segmentation!
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