paddle cifar100 training
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Updated
May 28, 2021 - Python
paddle cifar100 training
Real Time Object Detection With MobileNet and SSD
This deep learning project focuses on building a robust air quality classifier from photos using two different deep learning architectures.
Support both image and video real time face mask detection end-to-end
AI-Powered Universal Bubble Sheet Grader
Utilize mobilenet_v2 and Finetune it with potato disease image dataset (3 classes). App will allow farmers to snap a picture of a plant and determine whether the plant has a disease or not.
This is a multiclass image classification problem. There data contains images from 6 categories 'buildings','forest','glacier','mountain','sea','street'. The aim is to develop a machine learning model that correctly classifies an input image into one of the categories
Farmakope Apps Klasifikasi Tanaman Herbal
BackEnd Sistem Klasifikasi Tanaman Herbal Berbasis AI
Deep Learning framework for mask detection
π― Identify plant diseases with high accuracy! πΎπ‘ | π Supports multiple plant types ππ₯π | π€ CNN-based TFLite model for fast predictions π | π₯οΈ Web & π± Android app ready | π οΈ Python π, TensorFlow Lite π , Flask π§ͺ, AWS βοΈ
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