A comparison of model types (both from scratch and pretrained) for classifying different types of waste. This project was developed for the Computational Intelligence and Deep Learning Course, MSC in AIDE at the University of Pisa.
In this notebook I will try to recreate a curious model used in an App shown in the HBO serie "Sillicon Valley".
Python notebooks for face recognition of 12 people wearing face masks as a 12-class classification task.
Real-Time Face Mask Detector using TensorFlow, OpenCV, NumPy, Keras, Jupyter Notebook, and Python.
ML Notebook to Detect mask in frame of a image which trains a CNN model using transfer learning in which mobilenetv2 model architecture is used with imagenet weights as a base model,on top which a head model is made using different layers like average pooling and dense layers to find specific patterns in the images of mask and without mask.
python code, notebooks and Images used for AI502 Midterm Project.
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