Facebook AI Performance Evaluation Platform
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Updated
Jan 3, 2019 - Python
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.
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.
Applying neural networks and transfer learning techniques with Tensorflow to classify flower images and build a command-line app
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.
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
Transfer Learning models in PyTorch
in this project we used image processing Technique to classify 9 class malwares our final goal is to reach an appropriate model with high accuracy and small size and computational cost
2D facial landmarks detection with neural networks
Butterfly Classifier Inference API. Finetuned using MobileNetV2.
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.
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