Object Classification with MobileNet/MobileNetv2 on Custom Datasets.
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Updated
Oct 14, 2020 - Python
Object Classification with MobileNet/MobileNetv2 on Custom Datasets.
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.
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
Repositorio con el código para detectar, seguir y contar personas en una JETSON NANO mediante una cámara web.
Post quantization with TensorFlow and model compilation with TVM
Unofficial implementation of MobileNet-V2 in PyTorch
This project is aimed at detecting breast cancer cells from microscopic images using the MobileNetV2 architecture. The model is trained on a dataset of microscopic images of breast tissue samples that contain both cancerous and non-cancerous cells.
TensorFlow Object Detection using SSD Mobilenet V2
NTU Biophotonics and Bioimaging Lab dairy cow face monitoring project. Metric learning experiment.
Facebook AI Performance Evaluation Platform
Detects whether a person is wearing mask or not.
my thesis works on mri image segmentation of brain tumour using deep learning models
A Deep Learning based Model to detect a Face Mask on a person, built using MobileNetV2s.
"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"
Butterfly Classifier Inference API. Finetuned using MobileNetV2.
Neural network that identifies and labels vegetables
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