Real-time portrait segmentation for mobile devices
-
Updated
Jun 17, 2020 - Jupyter Notebook
Real-time portrait segmentation for mobile devices
Quick image clasifier
Android mobile application to classify diseases such as melanoma and eye defects.
Object Classification with MobileNet/MobileNetv2 on Custom Datasets.
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
It detects the faces in the video frame and tells whether the people in the frame are equipped with face masks or not.
Face mask detection 😷 using MobileNetV2
Real Time Masker Detection with Deep Learning MobileNetV2 Algorithm
Classification of Flower datasets using Mobilenet-v2 Model
Animal Classification using Transfer Learning Model (MobileNetV2)
MobileNetV3 implementation from scratch using PyTorch.
An image classification model trained on animal-10 dataset using MobileNetV2
Final Year project developed using MobileNetV2 and implemented REST API using Django
Facebook AI Performance Evaluation Platform
Classification of whether oranges are rotten.
M.Sc Thesis - 3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks
Detects whether a person is wearing mask or not.
Add a description, image, and links to the mobilenetv2 topic page so that developers can more easily learn about it.
To associate your repository with the mobilenetv2 topic, visit your repo's landing page and select "manage topics."