amiradridi/Type-of-flower-detection
A multilabel classification model that predicts the type of flower by its image (with an accuracy reaching 95 %) using basically Convolutional Neural Networks, transfer learning and flask for deployment. It was part of AI challenge organized by IEEE CIS Tunisia during the TSYP congress (2019)
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