Projects tagged with "open-source"

Designed and implemented the first official Keras object detection API. The API includes modular components for data augmentation, modelling, loss computation, and metric evaluation. Some API highlights include mitigation against silent failure through explicit bounding box format specification, and train time COCO metric evaluation - a unique feature to KerasCV enabled by the algorithm I designed in "Efficient Graph-Friendly COCO Metric Computation for Train-Time Model Evaluation".

Organized and coordinated a massive effort with contributions from over a dozen software engineers to add numerous data augmentation layers to the KerasCV Library. Personally implemented CutMix, MixUp, and RandAugment - the three most widely used data augmentation techniques in image classification. Authored several tutorials on using the augmentation layers.