Real-time portrait segmentation for mobile devices
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Updated
Jun 17, 2020 - Jupyter Notebook
Real-time portrait segmentation for mobile devices
Quick image clasifier
Here, I have transfer learning the pre-trained MobileNet V2 CNN model to detect whether the person is wearing a mask or not
Real Time Detection Mask and NoMask
COVID-19 SOP Violation Detection Computer Vision based Application | Face Mask Detection | Social Distancing
Real Time Masker Detection with Deep Learning MobileNetV2 Algorithm
Classification of Flower datasets using Mobilenet-v2 Model
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.
Final Year project developed using MobileNetV2 and implemented REST API using Django
Facebook AI Performance Evaluation Platform
Detects whether a person is wearing mask or not.
Image classification with Machine Learning: recognising fruit and vegetable classes with Neural Networks
Tensorflow for AI: Transfer Learning is a guided project from Coursera. It aims to familiarise users with Tensorflow for Transfer Learning. This project used MobileNetV2,a lightweight transfer learning model developed by Google.
Implementation of A Neural Algorithm of Artistic Style(Gatys et. al.) but with MobileNetV2 backend instead of VGG.
Applying neural networks and transfer learning techniques with Tensorflow to classify flower images and build a command-line app
A Deep Learning based Model to detect a Face Mask on a person, built using MobileNetV2s.
Multiclass image classification project on Kaggle Gemstones dataset
"Animal Behavior & Disease Detection: Utilize YOLO and MobileNetV2_img_classifier for real-time animal behavior tracking and disease identification. A valuable tool for wildlife researchers and conservationists. 🦁🔍🦠 #WildlifeAI #DeepLearning #Conservation"
INTRA-HOUR SOLAR IRRADIANCE ESTIMATION USING INFRARED SKY IMAGES AND MOBILENETV2-BASED CNN REGRESSION
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