Computational Analysis of Novel Drug Opportunities
Objects detection and online tracking.
This project allows the use of machine learning to predict the ingredients of a recipe. In particular, it has been implemented on a poke recipe in which a series of ingredients (i.e. 8) are passed as input and the software returns 2 missing (for example the topping and the sauce). The model used is Multi Target Forest and Scikit Learn ML library
YOLO5s-Hydra: object detection + scene classification (Multitasks-Hydra) 🚀
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