ramaoz's Stars
leriomaggio/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
tirthajyoti/Deep-learning-with-Python
Deep learning codes and projects using Python
rohanpillai20/Image-Classification-by-Keras-and-Tensorflow
Image Classification using Keras as well as Tensorflow.
MuhammedBuyukkinaci/TensorFlow-Multiclass-Image-Classification-using-CNN-s
Balanced Multiclass Image Classification with TensorFlow on Python.
1297rohit/VGG16-In-Keras
Implementation of VGG16 architecture in Keras
giovannipcarvalho/banana-ripeness-classification
Banana ripeness classification using Neural Networks.
vivekanandgoud/Fruit-Ripe-classification
Fruit maturity / Ripe / type classification
Picogeek06/FinalYear_Project
Deep Learning Based Building Detection with Satellite Imagery
kkr4353/Plant-Augur
The backbone of India is Agriculture and it constitutes major part of gross domestic production in country. The application is very simple to use. The application provides the different ripening stages of the fruit. It also gives the information like on which whether what crop and details of the crops available as a reference manual. Identification of different stages of ripening of perishable farm produce in Field/cold storage using image processing and create an app to give real time status and notification system. The app will be updated with the images taken by CCTV cameras at definite intervals or mobile camera and notify the product owner well in time before rotting of the produce. Also, the app will have camera feature which will give real time status of the ripening stage. The assessment of fruit quality is important for the cultivator and the consumer. Maturity detection is very important for fruit/vegetable warehouse. This Fruit Maturity mobile Application named as “Plant Augur” pretends to apply image processing techniques to identify the degree of maturity in fruit and vegetables.
kriti149/Fruits-Classification
It categorizes the fruits into different classes using the Convolutional Neural Network(pretrained VGG16).It implements the concept of transfer learning.The keras library is used.
rvg77/artworks-classification
Detecting the artist by painting
shawon100/Image-Classification-By-ResNet50
Image Classification Software By ResNet50 in Matlab Appdesigner
siddhant68/Cat-Dog-Classifier
Repository consists of a trained model in h5 format. This model was trained using transfer learning on Resnet 50 architecture. This model can classify the images of dogs and cats with 91.4% accuracy.